more URL fixes

do not check  URLs
a few more link fixes
2023-04-27 02:43:20 +02:00 · 2023-04-27 02:42:55 +02:00 · 2023-04-27 00:51:37 +02:00 · 2023-04-27 00:38:21 +02:00 · 2023-04-27 00:16:50 +02:00 · 2023-04-27 00:05:07 +02:00
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@ -2,7 +2,7 @@

 An [awesome list](https://github.com/sindresorhus/awesome) of resources to construct, analyze and visualize network data.

-Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning), [Awesome Math](https://github.com/rossant/awesome-math) and others.
+Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning), [Awesome Math](https://github.com/rossant/awesome-math) and others. Started in 2016, and irregularly updated since then.

 [![Adamic and Glance’s network of political blogs, 2004.](https://raw.githubusercontent.com/briatte/awesome-network-analysis/master/illustration.png)](http://www.maths.tcd.ie/~mnl/store/AdamicGlance2004a.pdf)

@ -72,7 +72,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 > Accessible introductions aimed at non-technical audiences.

 -   _[Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives](http://www.connectedthebook.com/)_, by Nicholas A. Christakis and James H. Fowler (2009).
-   _[Linked: The New Science of Networks](http://barabasi.com/book/linked)_, by Albert-László Barabási (2002).
+-   _[Linked: The New Science of Networks](https://barabasi.com/book/linked)_, by Albert-László Barabási (2002).
 -   _[Network Literacy: Essential Concepts and Core ideas](https://sites.google.com/a/binghamton.edu/netscied/teaching-learning/network-concepts)_, by the NetSciEd team (c. 2016) - Available in several languages ([paper](https://academic.oup.com/comnet/article-abstract/4/3/457/1745356)).
 -   _[Nexus. Small Worlds and the Groundbreaking Theory of Networks](http://books.wwnorton.com/books/Nexus/)_, by Mark Buchanan (2003).
 -   _[Six Degrees: The Science of a Connected Age](http://books.wwnorton.com/books/detail.aspx?ID=7599)_, by Duncan J. Watts (2003).
@ -87,12 +87,12 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   _[Network Science](http://www.nap.edu/catalog/11516/network-science)_, by the U.S. National Research Council - Full book online (2005).
 -   _[Network Science: Theory and Practice](http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118211014.html)_, by Ted G. Lewis (2011).
 -   _[Networks. An Introduction](http://www-personal.umich.edu/~mejn/networks-an-introduction/)_, by Mark E.J. Newman (2010).
-   _[Networks, Crowds, and Markets: Reasoning About a Highly Connected World](http://www.cs.cornell.edu/home/kleinber/networks-book/)_, by David Easley and Jon Kleinberg - Full pre-publication draft ([review](http://bactra.org/reviews/networks-crowds-markets.html); 2010).
+-   _[Networks, Crowds, and Markets: Reasoning About a Highly Connected World](https://www.cs.cornell.edu/home/kleinber/networks-book/)_, by David Easley and Jon Kleinberg - Full pre-publication draft ([review](http://bactra.org/reviews/networks-crowds-markets.html); 2010).
 -   _[Réseaux sociaux et structures relationnelles](https://www.puf.com/content/R%C3%A9seaux_sociaux_et_structures_relationnelles)_, by Emmanuel Lazega, in French (2014).
-   _[The SAGE Handbook of Social Network Analysis](http://www.sagepub.in/books/Book232753/)_, edited by John Scott and Peter J. Carrington (2011).
+-   _[The SAGE Handbook of Social Network Analysis](https://methods.sagepub.com/book/the-sage-handbook-of-social-network-analysis)_, edited by John Scott and Peter J. Carrington (2011).
 -   _[Sociologie des réseaux sociaux](http://pierremerckle.fr/2011/02/sociologie-des-reseaux-sociaux/)_, by Pierre Mercklé, in French (2011).
-   _[Social and Economic Networks](http://press.princeton.edu/titles/8767.html)_, by Matthew O. Jackson (2008).
-   _[Social Network Analysis with Applications](http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118169476.html)_, by Ian McCulloh, Helen Armstrong and Anthony Johnson (2013).
+-   _[Social and Economic Networks](https://press.princeton.edu/books/paperback/9780691148205/social-and-economic-networks)_, by Matthew O. Jackson (2008).
+-   _[Social Network Analysis with Applications](https://www.wiley.com/en-gb/Social+Network+Analysis+with+Applications-p-9781118169476)_, by Ian McCulloh, Helen Armstrong and Anthony Johnson (2013).
 -   _[Social Networks: An Introduction](https://www.routledge.com/products/9780415458030)_, by Jeroen Bruggeman ([related material](https://sites.google.com/site/introsocnet/); 2008).
 -   _[Studying Social Networks. A Guide to Empirical Research](http://press.uchicago.edu/ucp/books/book/distributed/S/bo15475096.html)_, by Marina Hennig _et al._ (2013).
 -   _[Understanding Social Networks. Theories, Concepts, and Findings](https://global.oup.com/academic/product/understanding-social-networks-9780195379471)_, by Charles Kadushin (2012).
@ -121,16 +121,16 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   _[Knoten und Kanten. Soziale Netzwerkanalyse in Wirtschafts- und Migrationsforschung](http://www.transcript-verlag.de/978-3-8376-1311-7/knoten-und-kanten)_, edited by Markus Gamper and Linda Reschke, in German (2010).
 -   _[Knoten und Kanten 2.0. Soziale Netzwerkanalyse in Medienforschung und Kulturanthropologie](http://www.transcript-verlag.de/978-3-8376-1927-0/knoten-und-kanten-2.0)_, edited by Markus Gamper, Linda Reschke and Michael Schönhuth, in German (2012).
 -   _[Knoten und Kanten III. Soziale Netzwerkanalyse in Geschichts- und Politikforschung]()_, edited by Markus Gamper, Linda Reschke and Marten Düring, in German and English (2015).
-   _Inferential Network Analysis_, by Skyler J. Cranmer, Bruce A. Desmarais and Jason Morgan (forthcoming).
+-   _[Inferential Network Analysis](https://www.cambridge.org/highereducation/books/inferential-network-analysis/A7797D36A24647AA1F900CE7EF694C7E)_, by Skyler J. Cranmer, Bruce A. Desmarais and Jason Morgan (2020).
 -   _[Multilayer Social Networks](http://multilayer.it.uu.se/book.html)_, by Mark E. Dickison, Matteo Magnani and Luca Rossi (2016).
 -   _[Multilevel Network Analysis for the Social Sciences](https://www.springer.com/fr/book/9783319245188)_, edited by Emmanuel Lazega and Tom A.B. Snijders (2016).
 -   _[Multimodal Political Networks](https://www.cambridge.org/core/books/multimodal-political-networks/43EE8C192A1B0DCD65B4D9B9A7842128)_, by David Knoke, Mario Diani, James Hollway and Dimitri Christopulos (2021).
 -   _[Multivariate Network Visualization](https://www.springer.com/us/book/9783319067926)_, edited by Andreas Kerren, Helen C. Purchase and Matthew O. Ward (2014).
-   _[Network Analysis in Archaeology](https://global.oup.com/academic/product/network-analysis-in-archaeology-9780199697090)_, edited by Carl Knappett (2013; [review in French](https://journals.openedition.org/nda/2383)).
+-   _[Network Analysis in Archaeology](https://global.oup.com/academic/product/network-analysis-in-archaeology-9780199697090)_, edited by Carl Knappett (2013; [review in French](https://doi.org/10.4000/nda.2383)).
 -   _[Network Analysis: Methodological Foundations](https://www.springer.com/fr/book/9783540249795)_, edited by Ulrik Brandes and Thomas Erlebach - Covers network centrality, clustering, blockmodels, spatial networks and more (2005).
 -   _[Political Networks. The Structural Perspective](http://www.cambridge.org/ar/academic/subjects/sociology/political-sociology/political-networks-structural-perspective)_, by David Knoke (1994).
 -   _[Social Network Analysis for Ego-Nets: Social Network Analysis for Actor-Centred Networks](https://uk.sagepub.com/en-gb/eur/social-network-analysis-for-ego-nets/book240391)_, by Nick Crossley _et al._ (2015).
-   _[Understanding Large Temporal Networks and Spatial Networks](http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470714522.html)_, by Vladimir Batagelj _et al._ (2014).
+-   _[Understanding Large Temporal Networks and Spatial Networks](https://www.wiley.com/en-gb/Understanding+Large+Temporal+Networks+and+Spatial+Networks%3A+Exploration%2C+Pattern+Searching%2C+Visualization+and+Network+Evolution-p-9780470714522)_, by Vladimir Batagelj _et al._ (2014).

 ### Software-specific

@ -196,13 +196,14 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
    -   [Tarot Cards for Principles of Complex Systems and Complex Networks](https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/tarotcards/).
 -   [Graph Theory and Applications](http://www.hamilton.ie/ollie/Downloads/Graph.pdf), by Paul Van Dooren - Full lecture slides (Hamilton Institute, Dublin, 2009).
 -   [Graph Theory (Mathematics)](http://www.personal.psu.edu/cxg286/Math485.pdf), by Christopher Griffin - Full lecture notes (Penn State University, 2012).
-   [Network Analysis and Modeling (Computer Science)](http://tuvalu.santafe.edu/~aaronc/courses/5352/), by Aaron Clauset - Full lecture slides and readings (University of Colorado, 2014).
+-   [Graphs and Networks](https://sites.google.com/a/yale.edu/462-562-graphs-and-networks/), by Dan Spielman (Yale University, 2013).
+-   [Network Analysis and Modeling (Computer Science)](https://aaronclauset.github.io/courses/5352/), by Aaron Clauset - Full lecture slides and readings (University of Colorado, 2022).
 -   [Networks, Complexity and Its Applications (Media Arts and Sciences)](http://ocw.mit.edu/courses/media-arts-and-sciences/mas-961-networks-complexity-and-its-applications-spring-2011/), by Cesar Hidalgo (MIT, 2011).
 -   [Networks, Crowds and Markets](https://www.edx.org/course/networks-crowds-markets-cornellx-info2040x-2), by David Easley, Jon Kleinberg and Eva Tardos ([presentation](https://www.cornell.edu/video/cornellx-networks-crowds-and-markets); Cornell University via edX, 2016).
 -   [Networks (Economics)](https://ocw.mit.edu/courses/economics/14-15j-networks-spring-2018/), by Mardavij Roozbehani and Evan Sadler (MIT, 2018).
    -   [Networks (Economics)](https://hdl.handle.net/1721.1/119628), by Daron Acemoglu and Asu Ozdaglar (MIT, 2009).
 -   [Network Science (Computer Science)](http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/), by Constantine Dovrolis - Mostly open access readings (Georgia Tech, 2015).
-   [Network Science (Physics)](https://www.barabasilab.com/course), by Albert-László Barabási, Sean Cornelius and Roberta Sinatra (Northeastern University, 2015).
+    <!-- -   [Network Science (Physics)](https://www.barabasilab.com/course), by Albert-László Barabási, Sean Cornelius and Roberta Sinatra (Northeastern University, 2015). -->
 -   [Political Networks: Methods and Applications](http://vanity.dss.ucdavis.edu/~maoz/networks/Spring%202011/pol279-11.htm), by Zeev Maoz (University of California in Davis, 2012).
 -   [Social and Economic Networks: Models and Analysis](https://www.coursera.org/course/networksonline), by Matthew O. Jackson (Stanford University via Coursera, 2015).
 -   [Social Network Analysis](https://www.coursera.org/course/sna), by Lada Adamic (University of Michigan via Coursera, not yet run).
@ -221,18 +222,19 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [Enron Email Dataset](https://www.cs.cmu.edu/~enron/).
 -   [Eric D. Kolaczyk’s Network Datasets](http://math.bu.edu/people/kolaczyk/datasets.html).
 -   [Gephi Datasets](https://github.com/gephi/gephi/wiki/Datasets).
+-   [Hetionet: an integrative network of disease](https://github.com/hetio/hetionet) - A complex biological network, available in multiple formats, including JSON and [Neo4j](https://neo4j.het.io/browser/).
 -   [igraphdata](https://CRAN.R-project.org/package=igraphdata) - R data-centric package.
 -   [Interaction Web Database](http://www.ecologia.ib.usp.br/iwdb/) - Ecological species interactions.
 -   [International Currencies 1890-1910](http://eh.net/database/international-currencies-1890-1910/) - Historical data on the international connections between 45 currencies.
-   [KONECT - The Koblenz Network Collection](http://konect.uni-koblenz.de/) - Includes, among other things, networks of collaboration in DBpedia and Wikipedia, GitHub ([companion handbook](http://arxiv.org/abs/1402.5500)).
-   [James H. Fowler’s Cosponsorship Network Data Page](http://jhfowler.ucsd.edu/cosponsorship.htm).
+-   [KONECT - The Koblenz Network Collection](http://konect.uni-koblenz.de/) - Includes, among other things, networks of collaboration in DBpedia and Wikipedia, GitHub ([companion handbook](https://arxiv.org/abs/1402.5500)).
+    <!-- -   [James H. Fowler’s Cosponsorship Network Data Page](http://jhfowler.ucsd.edu/cosponsorship.htm). -->
 -   [Linton Freeman’s Network Data](http://moreno.ss.uci.edu/data.html) - Over 300 datasets of all sorts, in UCINET format.
-   [Mangal](http://mangal.io/) - Online platform to analyze, archive and share ecological network data ([preprint](http://biorxiv.org/content/early/2015/02/24/002634), [Python package](https://github.com/mangal-wg/pymangal), [R package](https://github.com/mangal-wg/rmangal)).
+-   [Mangal](http://mangal.io/) - Online platform to analyze, archive and share ecological network data ([preprint](https://doi.org/10.1101/002634), [Python package](https://github.com/mangal-wg/pymangal), [R package](https://github.com/mangal-wg/rmangal)).
 -   [Manlio De Domenico’s Complex Multilayer Networks](https://manliodedomenico.com/data.php).
 -   [Mark E.J. Newman’s Network Data](http://www-personal.umich.edu/~mejn/netdata/) ([example visualizations](http://www-personal.umich.edu/~mejn/networks/)).
 -   [Network Repository](http://networkrepository.com/) - Fully searchable database containing hundreds of real-world networks.
 -   [Network Science Book - Network Datasets](http://networksciencebook.com/translations/en/resources/data.html) - Network data sets from Albert-László Barabási’s _Network Science_ book. Includes data on IMDB actors, arXiv scientific collaboration, network of routers, the US power grid, protein-protein interactions, cell phone users, citation networks, metabolic reactions, e-mail networks, and nd.edu Web pages.
-   [Nexus](http://nexus.igraph.org/) - Repository of network datasets in GraphML and igraph formats.
+    <!-- -   [Nexus](http://nexus.igraph.org/) - Repository of network datasets in GraphML and igraph formats. -->
 -   [Norwegian Interlocking Directorate, 2002-2011](http://www.boardsandgender.com/data.php) - Two-mode and one-mode data on gender representation in Norwegian firms.
 -   [Movie galaxies](http://moviegalaxies.com/) - A databse of movie characters interaction graphs.
 -   [Pajek Datasets](http://vlado.fmf.uni-lj.si/pub/networks/data/).
@ -240,7 +242,9 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [Siena Datasets](http://www.stats.ox.ac.uk/~snijders/siena/siena_datasets.htm).
 -   [SocioPatterns Datasets](http://www.sociopatterns.org/datasets/) - Network data obtained through the [SocioPatterns](http://www.sociopatterns.org/) sensing platform.
 -   [Stanford Large Network Dataset Collection](http://snap.stanford.edu/data/index.html).
+-   [State Networks](https://ippsr.msu.edu/public-policy/state-networks) - US state-to-state relational variables, including borders, travel, trade and more.
 -   [tnet Datasets](https://toreopsahl.com/datasets/) - Weighted network data.
+-   [UC Berkeley Social Networks Study (UCNets)](https://www.icpsr.umich.edu/web/ICPSR/studies/36975) - Ego-centric data (personal networks) from a five-year panel study.
 -   [UCI Network Data Repository](http://networkdata.ics.uci.edu/).
 -   [UCINET Datasets](https://sites.google.com/site/ucinetsoftware/datasets) - Network data in UCINET format.

@ -252,8 +256,8 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   _[ARCS – Analyse de réseaux pour les sciences sociales / Network Analysis for the Social Sciences](http://arcs.episciences.org/)_, in English and in French ([GDR ARSHS](https://arshs.hypotheses.org/)).
 -   _[Computational and Mathematical Organization Theory](http://link.springer.com/journal/10588)_ (Springer, gated).
 -   _[Computational Social Networks](http://computationalsocialnetworks.springeropen.com/)_ (Springer Open).
-   _[Connections](http://www.insna.org/connections.html)_ (INSNA).
-   _[IEEE Transactions on Network Science and Engineering](http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?reload=true&punumber=6488902)_ (IEEE).
+-   _[Connections](http://www.insna.org/connections.html)_ (INSNA). Twitter: [@ConnectionsSNA](https://twitter.com/ConnectionsSNA).
+-   _[IEEE Transactions on Network Science and Engineering](https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6488902)_ (IEEE).
 -   _[Journal of Complex Networks](https://academic.oup.com/comnet)_ (Oxford, gated).
 -   _[The Journal of Mathematical Sociology](http://www.tandfonline.com/loi/gmas20)_ (Taylor & Francis, gated).
 -   _[Journal of Social Structure](https://www.exeley.com/journal/journal_of_social_structure)_ (INSNA). [Older archives](http://www.cmu.edu/joss).
@ -266,14 +270,15 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this

 ## Professional Groups

-   [AFS RT 26 “Réseaux sociaux”](http://www.test-afs-socio.fr/drupal/RT26) - Thematic Network of the French Sociological Association (AFS), in French ([old website](https://web.archive.org/web/20160421164221/http://www.cmh.pro.ens.fr/reseaux-sociaux/)).
+-   [AFS RT 26 “Réseaux sociaux”](https://afs-socio.fr/rt/rt26/) - Thematic Network of the French Sociological Association (AFS), in French ([old website](https://web.archive.org/web/20160421164221/http://www.cmh.pro.ens.fr/reseaux-sociaux/)).
 -   [APSA Political Networks](http://www.polinetworks.org/) - Organized Section of the American Political Science Association (APSA). Twitter: [@PolNetworks](https://twitter.com/PolNetworks).
 -   [ECPR Political Networks SG](https://politicalnetsecpr.wordpress.com/) - Standing Group of the European Consortium for Political Research. Twitter: [@politicalnets](https://twitter.com/politicalnets).
-   [GDR ARSHS - GDR Analyse de réseaux en sciences humaines et sociales](http://arshs.hypotheses.org/), in French - Research group based in Paris.
-   [Groupe FMR - Flux, Matrices, Réseaux](http://groupefmr.hypotheses.org/), in French.
-   [INSNA - International Network for Social Network Analysis](https://www.insna.org/) ([SOCNET mailing-list](https://www.insna.org/socnet)).
-   [Mathematical Sociology Section of the American Sociological Association (ASA)](http://www.asanet.org/asa-communities/sections/mathematical-sociology).
-   [NetSci - Network Science Society](http://www.netscisociety.net/).
+-   [GDR ARSHS - GDR Analyse de réseaux en sciences humaines et sociales](https://arshs.hypotheses.org/), in French - Research group based in Paris.
+-   [Groupe FMR - Flux, Matrices, Réseaux](https://groupefmr.hypotheses.org/), in French. Twitter: [@BaugLaurent](https://twitter.com/BaugLaurent).
+-   [INSNA - International Network for Social Network Analysis](https://www.insna.org/) ([SOCNET mailing-list](https://www.insna.org/socnet)). Twitter: [@SocNetAnalysts](https://twitter.com/SocNetAnalysts).
+-   [Mathematical Sociology Section of the American Sociological Association (ASA)](http://mathematicalsociology.org/). Twitter: [@Math_Sociology](https://twitter.com/Math_Sociology).
+-   [NetSci - Network Science Society](http://www.netscisociety.net/). Twitter: [@netscisociety](https://twitter.com/netscisociety).
+-   [Society of Young Network Scientists (SYNS)](https://society-of-young-network-scientists.github.io/). Supports early-career network scientists. Twitter: [@official_SYNS](https://twitter.com/official_SYNS).

 ### Research Groups (USA)

@ -322,8 +327,8 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [ANR-Lab - International Laboratory for Applied Network Research](https://anr.hse.ru/en/) - Russian group based at the National Research University in Moscow.
    -   [Theory and Methods in Network Analysis (“TMSA”) Summer Schools](https://anr.hse.ru/en/summer).
 -   [Large Graphs and Networks](http://sites.uclouvain.be/networks/) - Research group at the Catholic University of Louvain ([official page](https://uclouvain.be/en/research-institutes/icteam/large-graphs-and-networks.html)).
-   [MelNet Social Network Research Group, Swinburne University of Technology](http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/).
-   [Mitchell Centre for Social Network Analysis, University of Manchester](http://www.socialsciences.manchester.ac.uk/mitchell-centre/) - Currently studies [covert networks](http://www.socialsciences.manchester.ac.uk/mitchell-centre/research/covert-networks/).
+-   [MelNet Social Network Research Group, Swinburne University of Technology](http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/). Twitter: [@melnetsna](https://twitter.com/melnetsna).
+-   [Mitchell Centre for Social Network Analysis, University of Manchester](http://www.socialsciences.manchester.ac.uk/mitchell-centre/) - Currently studies [covert networks](http://www.socialsciences.manchester.ac.uk/mitchell-centre/research/covert-networks/). Twitter: [@MitchellSNA](https://twitter.com/MitchellSNA).
 -   [Murata Laboratory](http://www.net.c.titech.ac.jp/) - Tokyo-based research group, studying bi-, tri- and k-partite (hyper)networks.
 -   [NetLab](http://www.urbancentre.utoronto.ca/researchgroups/netlab.html) - Research network at the University of Toronto, led by Barry Wellman.
 -   [Network Science Research Centre, Swansea University](http://www.swansea.ac.uk/medicine/enterpriseandinnovation/networkscienceresearchcentre/).
@ -346,54 +351,54 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this

 > See also the bibliographies [by Claire Lemercier and Claire Zalc](http://www.quanti.ihmc.ens.fr/Analyse-de-reseaux-bibliographie.html) (section on ‘_études structurales_’), [by the Historical Network Research Group](http://historicalnetworkresearch.org/resources/bibliography/), and [by Tom Brughmans](https://archaeologicalnetworks.wordpress.com/network-science-bibliography/).

-   [Analyse de réseaux et histoire](https://www.cairn.info/revue-d-histoire-moderne-et-contemporaine-2005-2-page-88.htm), in French (_Revue d’histoire moderne et contemporaine_, 2005).
-   [Analyser les réseaux du passé en archéologie et en histoire](https://journals.openedition.org/nda/2300), in French (_Les Nouvelles de l’Archéologie_, 2014).
-   [Formale Methoden der Netzwerkanalyse in den Geschichtswissenschaften: Warum und Wie? [Formal Network Methods in History: Why and How?]](http://www.studienverlag.at/data.cfm?vpath=openaccess/oezg-12012-lemercier&download=yes), in German ([preprint in English](http://halshs.archives-ouvertes.fr/halshs-00521527); _Österreichische Zeitschrift für Geschichtswissenschaften_, 2012).
+-   [Analyse de réseaux et histoire](https://doi.org/10.3917/rhmc.522.0088), in French (_Revue d’histoire moderne et contemporaine_, 2005).
+-   [Analyser les réseaux du passé en archéologie et en histoire](https://doi.org/10.4000/nda.2300), in French (_Les Nouvelles de l’Archéologie_, 2014).
+-   [Formale Methoden der Netzwerkanalyse in den Geschichtswissenschaften: Warum und Wie? [Formal Network Methods in History: Why and How?]](http://www.studienverlag.at/data.cfm?vpath=openaccess/oezg-12012-lemercier&download=yes), in German ([preprint in English](https://shs.hal.science/halshs-00521527); _Österreichische Zeitschrift für Geschichtswissenschaften_, 2012).
 -   [From Hermeneutics to Data to Networks: Data Extraction and Network Visualization of Historical Sources](http://programminghistorian.org/lessons/creating-network-diagrams-from-historical-sources) (_Programming Historian_, 2015).
-   [Graph Theory and Networks in Biology](https://doi.org/10.1049/iet-syb:20060038) ([preprint](http://arxiv.org/abs/q-bio/0604006); _IET Systems Biology_, 2007).
-   [Introduction à la visualisation de données : l’analyse de réseau en histoire](http://www.martingrandjean.ch/introduction-visualisation-de-donnees-analyse-de-reseau-histoire/), in French (_Geschichte und Informatik_, 2015).
-   [Introduction : où en est l’analyse de réseaux en histoire ? [Introducción: ¿en qué punto se encuentra el análisis de redes en Historia?]](http://revistes.uab.cat/redes/article/view/v21-bertran-guzziheeb-lemercier/299), in French ([also in Spanish](http://revistes.uab.cat/redes/article/view/v21-bertran-guzziheeb-lemercier/298); _REDES_, 2011).
-   [Networks and History](http://onlinelibrary.wiley.com/doi/10.1002/cplx.10054/abstract) (_Complexity_, 2002).
+-   [Graph Theory and Networks in Biology](https://doi.org/10.1049/iet-syb:20060038) ([preprint](https://arxiv.org/abs/q-bio/0604006); _IET Systems Biology_, 2007).
+-   [Introduction à la visualisation de données : l’analyse de réseau en histoire](https://www.martingrandjean.ch/introduction-visualisation-de-donnees-analyse-de-reseau-histoire/), in French (_Geschichte und Informatik_, 2015).
+-   [Introduction : où en est l’analyse de réseaux en histoire ? [Introducción: ¿en qué punto se encuentra el análisis de redes en Historia?]](https://doi.org/10.5565/rev/redes.416), in French and Spanish (_REDES_, 2011).
+-   [Networks and History](https://doi.org/10.1002/cplx.10054) (_Complexity_, 2002).
 -   [Networks in Historical Research](http://www.themacroscope.org/?page_id=308) (in _The Historian’s Macroscope_, 2013).
-   [Networks of Power in Archaeology](http://www.annualreviews.org/doi/abs/10.1146/annurev-anthro-102313-025901) (_Annual Review of Anthropology_, 2014).
-   [Netzwerkanalyse in den Geschichtswissenschaften. Historische Netzwerkanalyse als Methode für die Erforschung von historischen Prozessen](https://www.academia.edu/449150/Netzwerkanalyse_in_den_Geschichtswissenschaften._Historische_Netzwerkanalyse_als_Methode_f%C3%BCr_die_Erforschung_von_historischen_Prozessen), in German (_[Prozesse. Formen, Dynamiken, Erklärungen](https://www.springer.com/de/book/9783531176604)_, 2015).
+-   [Networks of Power in Archaeology](https://doi.org/10.1146/annurev-anthro-102313-025901) (_Annual Review of Anthropology_, 2014).
+-   [Netzwerkanalyse in den Geschichtswissenschaften. Historische Netzwerkanalyse als Methode für die Erforschung von historischen Prozessen](https://www.researchgate.net/publication/300723171_Netzwerkanalyse_in_den_Geschichtswissenschaften_Historische_Netzwerkanalyse_als_Methode_fur_die_Erforschung_von_historischen_Prozessen), in German (_[Prozesse. Formen, Dynamiken, Erklärungen](https://www.springer.com/de/book/9783531176604)_, 2015).
 -   [The Roots and Shoots of Archaeological Network Analysis: A Citation Analysis and Review of the Archaeological Use of Formal Network Methods](https://www.academia.edu/6925120/Brughmans_T._2014_._The_roots_and_shoots_of_archaeological_network_analysis_A_citation_analysis_and_review_of_the_archaeological_use_of_formal_network_methods._Archaeological_Review_from_Cambridge_29_1_) (_Archaeological Review from Cambridge_, 2014).
-   [Thinking Through Networks: A Review of Formal Network Methods in Archaeology](http://link.springer.com/article/10.1007/s10816-012-9133-8) (_Journal of Archaeological Method and Theory_, 2013).
+-   [Thinking Through Networks: A Review of Formal Network Methods in Archaeology](https://doi.org/10.1007/s10816-012-9133-8) (_Journal of Archaeological Method and Theory_, 2013).

 ### Bibliographic, Citation and Semantic Networks

-   [Assessing Impact and Quality from Local Dynamics of Citation Networks](http://www.sciencedirect.com/science/article/pii/S1751157711000770) (_Journal of Informetrics_, 2012).
-   [Atypical Combinations and Scientific Impact](http://science.sciencemag.org/content/342/6157/468) (_Science_, 2013).
-   [On Bibliographic Networks](http://link.springer.com/article/10.1007%2Fs11192-012-0940-1) (_Scientometrics_, 2013).
+-   [Assessing Impact and Quality from Local Dynamics of Citation Networks](https://doi.org/10.1016/j.joi.2011.08.005) (_Journal of Informetrics_, 2012).
+-   [Atypical Combinations and Scientific Impact](https://doi.org/10.1126/science.1240474) (_Science_, 2013).
+-   [On Bibliographic Networks](https://doi.org/10.1007/s11192-012-0940-1) (_Scientometrics_, 2013).
 -   [Dynamic Scientific Co-Authorship Networks](http://patrickdoreian.com/wp-content/uploads/2017/12/dynamic-scientific-coauthorship-networks.pdf) (_[Models of Science Dynamics](https://www.springer.com/us/book/9783642230677)_, 2012).
-   [Extracting Citation Networks from Publications in Classics](https://zenodo.org/record/46328) (_Digital Humanities Quarterly_, forthcoming).
-   [Self-Citations, Co-Authorships and Keywords: A New Approach to Scientists’ Field Mobility?](https://link.springer.com/article/10.1007/s11192-007-1680-5) (_Scientometrics_, 2007).
-   [Socio-Semantic Frameworks](http://www.worldscientific.com/doi/abs/10.1142/S0219525913500136) ([preprint](http://camille.roth.free.fr/travaux/roth--sociosemantic-systems-acs-proofs.pdf); _Advances in Complex Systems_, 2013).
-   [Socio-Semantic Modeling of Epistemic Communities](http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2452614) (APSA, 2014).
-   [Tradition and Innovation in Scientists’ Research Strategies](http://asr.sagepub.com/content/early/2015/08/12/0003122415601618) (_Annual Review of Sociology_, 2015).
+-   [Extracting Citation Networks from Publications in Classics](http://www.digitalhumanities.org/dhq/vol/10/2/000255/000255.html) (_Digital Humanities Quarterly_, 2016).
+-   [Self-Citations, Co-Authorships and Keywords: A New Approach to Scientists’ Field Mobility?](https://doi.org/10.1007/s11192-007-1680-5) (_Scientometrics_, 2007).
+-   [Socio-Semantic Frameworks](https://doi.org/10.1142/S0219525913500136) ([preprint](http://camille.roth.free.fr/travaux/roth--sociosemantic-systems-acs-proofs.pdf); _Advances in Complex Systems_, 2013).
+-   [Socio-Semantic Modeling of Epistemic Communities](https://ssrn.com/abstract=2452614) (APSA, 2014).
+-   [Tradition and Innovation in Scientists’ Research Strategies](https://doi.org/10.1177/0003122415601618) (_Annual Review of Sociology_, 2015).

 ### Biological, Ecological and Disease Networks

 -   [Biological Networks](http://kops.uni-konstanz.de/handle/123456789/25907) (_Handbook of Graph Drawing and Visualization_, 2014).
-   [Interactome Networks and Human Disease](http://barabasi.com/f/326.pdf) (_Cell_, 2011).
-   [Network Analysis: An Integrative Approach to the Structure of Psychopathology](http://www.annualreviews.org/doi/full/10.1146/annurev-clinpsy-050212-185608) (_Annual Review of Clinical Psychology_, 2013).
-   [Network Biology: Understanding the Cell’s Functional Organization](http://barabasi.com/f/147.pdf) - Accessible introduction to (cellular) network analysis (_Nature Reviews Genetics_, 2004).
-   [Network Medicine: A Network-based Approach to Human Disease](http://barabasi.com/f/320.pdf) (_Nature Review Genetics_, 2011).
-   [Social Networks and the Spread of Infectious Diseases: the AIDS Example](http://www.sciencedirect.com/science/article/pii/0277953685902692) (_Social Networks_, 1985).
-   [Structure and Dynamics of Molecular Networks: A Novel Paradigm of Drug Discovery. A Comprehensive Review](http://www.sciencedirect.com/science/article/pii/S0163725813000284) - Also includes an impressive list of network analysis software (_Pharmacology & Therapeutics_, 2013).
+-   [Interactome Networks and Human Disease](https://barabasi.com/f/326.pdf) (_Cell_, 2011).
+-   [Network Analysis: An Integrative Approach to the Structure of Psychopathology](https://doi.org/10.1146/annurev-clinpsy-050212-185608) (_Annual Review of Clinical Psychology_, 2013).
+-   [Network Biology: Understanding the Cell’s Functional Organization](https://barabasi.com/f/147.pdf) - Accessible introduction to (cellular) network analysis (_Nature Reviews Genetics_, 2004).
+-   [Network Medicine: A Network-based Approach to Human Disease](https://barabasi.com/f/320.pdf) (_Nature Review Genetics_, 2011).
+-   [Social Networks and the Spread of Infectious Diseases: the AIDS Example](https://doi.org/10.1016/0277-9536(85)90269-2) (_Social Networks_, 1985).
+-   [Structure and Dynamics of Molecular Networks: A Novel Paradigm of Drug Discovery. A Comprehensive Review](https://doi.org/10.1016/j.pharmthera.2013.01.016) - Also includes an impressive list of network analysis software (_Pharmacology & Therapeutics_, 2013).

 ### Complex and Multilayer Networks

-   [The Architecture of Complexity](http://barabasi.com/f/226.pdf) - From network theory to complexity theory (_IEEE Control Systems Magazine_, 2007).
-   [Complex Systems and Networks](http://science.sciencemag.org/content/325/5939) (special issue of _Science_, 2009).
+-   [The Architecture of Complexity](https://barabasi.com/f/226.pdf) - From network theory to complexity theory (_IEEE Control Systems Magazine_, 2007).
+-   [Complex Systems and Networks](https://www.science.org/toc/science/325/5939) (special issue of _Science_, 2009).
 -   [Multilayer Networks in a Nutshell](https://doi.org/10.1146/annurev-conmatphys-031218-013259) (_Annual Review of Condensed Matter Physics_, 2019).
-   [Statistical Mechanics of Complex Networks](http://barabasi.com/f/103.pdf) (_Reviews of Modern Physics_, 2002).
-   [The Structure and Function of Complex Networks](http://epubs.siam.org/doi/abs/10.1137/S003614450342480) (_SIAM Review_, 2003).
+-   [Statistical Mechanics of Complex Networks](https://barabasi.com/f/103.pdf) (_Reviews of Modern Physics_, 2002).
+-   [The Structure and Function of Complex Networks](https://doi.org/10.1137/S003614450342480) (_SIAM Review_, 2003).

 ### Ethics of Network Analysis

-   [A Cautionary Note on Data Inputs and Visual Outputs in Social Network Analysis (SNA)](http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8551.2012.00835.x/abstract) ([preprint][conway2014]; _British Journal of Management_, 2014).
-   [Ethical Dilemmas in Social Network Research](http://www.sciencedirect.com/science/journal/03788733/27/2) (special issue of _Social Networks_, 2005).
+-   [A Cautionary Note on Data Inputs and Visual Outputs in Social Network Analysis (SNA)](https://doi.org/10.1111/j.1467-8551.2012.00835.x) ([preprint][conway2014]; _British Journal of Management_, 2014).
+-   [Ethical Dilemmas in Social Network Research](https://www.sciencedirect.com/journal/social-networks/vol/27/issue/2) (special issue of _Social Networks_, 2005).
 -   [Ethical and Strategic Issues in Organizational Social Network Analysis](http://www.analytictech.com/borgatti/papers/ethics.pdf) (_The Journal of Applied Behavioral Science_, 2003).

 [conway2014]: https://lra.le.ac.uk/bitstream/2381/36068/2/Draft%20BJM%20Revised%20(3rd%20iteration)%20Manuscript.pdf
@ -402,13 +407,13 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this

 -   [A Brief History of Statistical Models for Network Analysis and Open Challenges][fienberg2012] (_Journal of Computational and Graphical Statistics_, 2012).
 -   [Basic Models and Questions in Statistical Network Analysis](https://projecteuclid.org/euclid.ssu/1504836152) (_Statistics Surveys_, 2017).
-   [Introduction to Stochastic Actor-Based Models for Network Dynamics](http://www.sciencedirect.com/science/article/pii/S0378873309000069) ([preprint](http://www.stats.ox.ac.uk/~snijders/SnijdersSteglichVdBunt2009.pdf); _Social Networks_, 2010).
-   Navigating the Range of Statistical Tools for Inferential Network Analysis (_American Journal of Political Science_, forthcoming 2016).
+-   [Introduction to Stochastic Actor-Based Models for Network Dynamics](https://doi.org/10.1016/j.socnet.2009.02.004) ([preprint](http://www.stats.ox.ac.uk/~snijders/SnijdersSteglichVdBunt2009.pdf); _Social Networks_, 2010).
+-   [Navigating the Range of Statistical Tools for Inferential Network Analysis](https://doi.org/10.1111/ajps.12263) (_American Journal of Political Science_, 2017).
 -   [Positional Analysis and Blockmodeling](http://link.springer.com/referenceworkentry/10.1007%2F978-1-4614-1800-9_138) (<!-- [preprint](http://patrickdoreian.com/NEW/wp-content/papers_resources/chapters/Positional_Analysis_and_Blockmodeling.pdf);  -->_Computational Complexity_, 2012).
-   [Social Network Evolution and Actor Oriented Models](https://journals.openedition.org/msh/2750) (_Mathematics & Social Sciences_, 1997).
-   [Statistical Models for Social Networks](http://www.annualreviews.org/doi/abs/10.1146/annurev.soc.012809.102709) (_Annual Review of Sociology_, 2011).
-   [A Survey of Statistical Network Models](https://dl.acm.org/citation.cfm?id=1734795) - Book-length review ([preprint](http://arxiv.org/abs/0912.5410); _Foundations and Trends in Machine Learning_, 2010).
-   [A Unified View of Generative Models for Networks: Models, Methods, Opportunities, and Challenges](http://arxiv.org/abs/1411.4070) ([video presentation](http://www.birs.ca/events/2015/5-day-workshops/15w5080/videos/watch/201504200944-Jacobs.html); [NIPS 2014 workshop](https://nips.cc/Conferences/2014/Schedule?type=Workshop) on “[Networks: From Graphs to Rich Data](https://410f84824e101297359cc81c78f45c7c079eb26c.googledrive.com/host/0Bz6WHrWac3FrWnA5MjZqb3lWa2c/)”).
+-   [Social Network Evolution and Actor Oriented Models](https://doi.org/10.4000/msh.2750) (_Mathematics & Social Sciences_, 1997).
+-   [Statistical Models for Social Networks](https://doi.org/10.1146/annurev.soc.012809.102709) (_Annual Review of Sociology_, 2011).
+-   [A Survey of Statistical Network Models](https://dl.acm.org/citation.cfm?id=1734795) - Book-length review ([preprint](https://arxiv.org/abs/0912.5410); _Foundations and Trends in Machine Learning_, 2010).
+-   [A Unified View of Generative Models for Networks: Models, Methods, Opportunities, and Challenges](https://arxiv.org/abs/1411.4070) ([video presentation](http://www.birs.ca/events/2015/5-day-workshops/15w5080/videos/watch/201504200944-Jacobs.html); [NIPS 2014 workshop](https://nips.cc/Conferences/2014/Schedule?type=Workshop) on “[Networks: From Graphs to Rich Data](https://410f84824e101297359cc81c78f45c7c079eb26c.googledrive.com/host/0Bz6WHrWac3FrWnA5MjZqb3lWa2c/)”).

 [fienberg2012]: http://www.stat.cmu.edu/~brian/780/hw01/Fienberg%20(2012)%20A%20Brief%20History%20of%20Statistical%20Models%20for%20Network%20Analysis%20and%20Open%20Challenges.pdf

@ -423,11 +428,11 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this

 > See also the bibliographies [by Eszter Hargittai](http://eszter.com/contract.html#socnet), [by Pierre François](http://pierrefrancois.wifeo.com/documents/Cours-rseau---biblio-gnrale.pdf) and [by Pierre Mercklé](http://socio.ens-lyon.fr/merckle/merckle_communications_2008_cargese_reseaux_nuls_biblio.pdf).

-   [A propos de la notion de rôle dans l’analyse des relations sociales](https://journals.openedition.org/msh/11969) (_Mathématiques et sciences humaines_, 2011).
-   [Brokerage](http://www.annualreviews.org/doi/abs/10.1146/annurev-soc-081309-150054) (_Annual Review of Sociology_, 2012).
-   [Birds of a Feather: Homophily in Social Networks](http://www.annualreviews.org/doi/abs/10.1146/annurev.soc.27.1.415) (_Annual Review of Sociology_, 2001).
+-   [A propos de la notion de rôle dans l’analyse des relations sociales](https://doi.org/10.4000/msh.11969) (_Mathématiques et sciences humaines_, 2011).
+-   [Brokerage](https://doi.org/10.1146/annurev-soc-081309-150054) (_Annual Review of Sociology_, 2012).
+-   [Birds of a Feather: Homophily in Social Networks](https://doi.org/10.1146/annurev.soc.27.1.415) (_Annual Review of Sociology_, 2001).
 -   [Mixed-Method Approaches to Social Network Analysis](http://eprints.ncrm.ac.uk/842/) (ESRC NCRM Discussion Paper, 2010).
-   [Network Analysis and Political Science](http://www.annualreviews.org/doi/abs/10.1146/annurev.polisci.12.040907.115949) (_Annual Review of Political Science_, 2011).
+-   [Network Analysis and Political Science](https://doi.org/10.1146/annurev.polisci.12.040907.115949) (_Annual Review of Political Science_, 2011).
 -   [Network Analysis for International Relations](https://www.cambridge.org/core/journals/international-organization/article/div-classtitlenetwork-analysis-for-international-relationsdiv/DE2910979C1B5C44C4CC13F336C5DE97) (_International Organization_, 2009).
 -   [Network Analysis in the Social Sciences](http://science.sciencemag.org/content/323/5916/892) (_Science_, 2009).
 -   [Networks and Trade](https://doi.org/10.1146/annurev-economics-080217-053506) (_Annual Review of Economics_, 2018).
@ -446,27 +451,27 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [Aux sources des grands réseaux d’interactions. Retour sur quelques propriétés déterminantes des réseaux sociaux issus de corpus documentaires](https://www.cairn.info/revue-reseaux1-2008-6-page-21.htm), by Pascal Cristofoli, in French - Reviews the current state of relational sociology and network analysis in light of the large-scale and online data (_Réseaux_, 2008).
 -   [Birds of a Feather, Or Friend of a Friend? Using Exponential Random Graph Models to Investigate Adolescent Social Networks](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831261/), by Steven M. Goodreau, James A. Kitts and Martina Morris - Accessible introduction to the logic and application of exponential random graph modeling (_Demography_, 2001).
 -   [Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks](http://www.soc.duke.edu/~jmoody77/chains.pdf), by Peter S. Bearman, James Moody and Katherine Stovel - Classic example of topological network analysis applied to a network of affective and sexual ties (_American Journal of Sociology_, 2004).
-   [Coauthorship and Citation Patterns in the _Physical Review_](http://journals.aps.org/pre/abstract/10.1103/PhysRevE.88.012814), by Travis Martin _et al._ - Highly typical study of scientific publishing productivity and collaboration through temporal network analysis ([preprint](http://arxiv.org/abs/1304.0473); _Physical Review E_, 2013).
+-   [Coauthorship and Citation Patterns in the _Physical Review_](https://doi.org/10.1103/PhysRevE.88.012814), by Travis Martin _et al._ - Highly typical study of scientific publishing productivity and collaboration through temporal network analysis ([preprint](https://arxiv.org/abs/1304.0473); _Physical Review E_, 2013).
 -   [The Convergence of Social and Technological Networks](https://www.cs.cornell.edu/home/kleinber/cacm08.pdf), by Jon Kleinberg - Discusses small-world effects and social contagion within the context of the Internet and social media (_Communications of the ACM_, 2008).
 -   [Deux traditions d’analyse des reseaux sociaux](https://www.cairn.info/revue-reseaux1-2002-5-page-183.htm), by Michael Eve ([English version](https://www.academia.edu/14524365/THE_TWO_TRADITIONS_OF_NETWORK_ANALYSIS); _Réseaux_, 2002).
 -   [Homophily and Contagion Are Generically Confounded in Observational Social Network Studies](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328971/), by Cosma R. Shalizi and Andrew C. Thomas - Makes a very important point for the analysis of network diffusion and influence (_Sociological Methods and Research_, 2011).
-   [La notion de réseau complexe : du réseau comme abstraction et outil à la masse de données des réseaux sociaux en ligne](https://journals.openedition.org/communicationorganisation/4093), by Alain Barrat, in French - Accessible introduction to the study of complex networks (_Communication & Organisation_, 2013).
-   [Network Analysis, Culture, and the Problem of Agency](http://www.mustafaemirbayer.com/network-analysis-culture-and-the-pr), by Mustafa Emirbayer and Jeff Goodwin (_American Journal of Sociology_, 1994), and [Manifesto for a Relational Sociology](http://www.mustafaemirbayer.com/copy-3-of-bourdieu), by Mustafa Emirbayer (_American Journal of Sociology_, 1997) - Sociological foundations for a science of social ties.
+-   [La notion de réseau complexe : du réseau comme abstraction et outil à la masse de données des réseaux sociaux en ligne](https://doi.org/10.4000/communicationorganisation.4093), by Alain Barrat, in French - Accessible introduction to the study of complex networks (_Communication & Organisation_, 2013).
+-   [Network Analysis, Culture, and the Problem of Agency](https://www.mustafaemirbayer.com/network-analysis-culture-and-the-pr), by Mustafa Emirbayer and Jeff Goodwin (_American Journal of Sociology_, 1994), and [Manifesto for a Relational Sociology](https://www.mustafaemirbayer.com/copy-3-of-bourdieu), by Mustafa Emirbayer (_American Journal of Sociology_, 1997) - Sociological foundations for a science of social ties.
 -   [Network Theory, Plot Analysis](https://sydney.edu.au/intellectual-history/documents/moretti_network_theory_plot_analysis.pdf), by Franco Moretti - Example applications of (fictional) network analysis in literary studies (_New Left Review_, 2011).
-   [Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths](http://www.sciencedirect.com/science/article/pii/S0378873310000183), by Tore Opsahl, Filip Agneessens and John Skvoretz - Explores the generalization of network centrality and distance measures to (positively) valued graphs (_Social Networks_, 2010; [companion website](https://toreopsahl.com/tnet/)).
-   [Scale-Free Networks](http://barabasi.com/f/124.pdf), by Albert-László Barabási and Eric Bonabeau - Early, accessible formulation of the “networks are everywhere” argument (_Scientific American_, 2003).
+-   [Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths](https://doi.org/10.1016/j.socnet.2010.03.006), by Tore Opsahl, Filip Agneessens and John Skvoretz - Explores the generalization of network centrality and distance measures to (positively) valued graphs (_Social Networks_, 2010; [companion website](https://toreopsahl.com/tnet/)).
+-   [Scale-Free Networks](https://barabasi.com/f/124.pdf), by Albert-László Barabási and Eric Bonabeau - Early, accessible formulation of the “networks are everywhere” argument (_Scientific American_, 2003).
 -   [Social Networks and Causal Inference](http://link.springer.com/chapter/10.1007/978-94-007-6094-3_17), by Tyler J. VanderWeele and Weihua An - Reviews the different ways in which network analysis can produce meaningful causal statements, as well as the inherent limits of network analysis for doing so (_[Handbook of Causal Analysis for Social Research](http://link.springer.com/book/10.1007/978-94-007-6094-3)_, 2013).
-   [The Performativity of Networks](http://kieranhealy.org/files/papers/performativity.pdf), by Kieran Healy - Network analysis meets science studies: social networks, like financial markets, are highly subject to performativity, i.e. the possibility that reality might be altered by its theoretical inquiry (_European Journal of Sociology_, 2015).
+-   [The Performativity of Networks](https://kieranhealy.org/files/papers/performativity.pdf), by Kieran Healy - Network analysis meets science studies: social networks, like financial markets, are highly subject to performativity, i.e. the possibility that reality might be altered by its theoretical inquiry (_European Journal of Sociology_, 2015).
 -   [Revisiting the Foundations of Network Analysis](http://science.sciencemag.org/content/325/5939/414), by Carter T. Butts - On choosing the right network representation to frame a research problem.
 -   [Robust Action and the Rise of the Medici, 1400-1434](http://home.uchicago.edu/~jpadgett/papers/published/robust.pdf), by John F. Padgett and Christopher K. Ansell - Classic analysis of power relations in the Renaissance Florentine state (_American Journal of Sociology_, 1993).
 -   [The Strength of Weak Ties](https://sociology.stanford.edu/sites/default/files/publications/the_strength_of_weak_ties_and_exch_w-gans.pdf), by Mark Granovetter - Arch-classic example of applying network analysis to a social issue: jobseeking (_American Journal of Sociology_, 1973).
-   [The Ties that Divide: A Network Analysis of the International Monetary System, 1890–1910](http://www.stats.ox.ac.uk/~snijders/FlandreauJobst2005.pdf) (_The Journal of Economic History_, 2005) and [The Empirics of International Currencies: Network Externalities, History and Persistence](http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0297.2009.02219.x/abstract) (_The Economic Journal_, 2009), both by Marc Flandreau and Clemens Jobst - Network analysis of the foreign exchange system in the late 19th century ([data](http://eh.net/database/international-currencies-1890-1910/)).
-   [Topics in Social Network Analysis and Network Science](http://arxiv.org/abs/1404.0067), by A. James O’Malley and Jukka-Pekka Onnela - 50-page introduction to network analysis, with just the right amount of detail on all aspects of it (_The Handbook of Health Services Research_, forthcoming 2017).
+-   [The Ties that Divide: A Network Analysis of the International Monetary System, 1890–1910](http://www.stats.ox.ac.uk/~snijders/FlandreauJobst2005.pdf) (_The Journal of Economic History_, 2005) and [The Empirics of International Currencies: Network Externalities, History and Persistence](https://doi.org/10.1111/j.1468-0297.2009.02219.x) (_The Economic Journal_, 2009), both by Marc Flandreau and Clemens Jobst - Network analysis of the foreign exchange system in the late 19th century ([data](http://eh.net/database/international-currencies-1890-1910/)).
+-   [Topics in Social Network Analysis and Network Science](https://arxiv.org/abs/1404.0067), by A. James O’Malley and Jukka-Pekka Onnela - 50-page introduction to network analysis, with just the right amount of detail on all aspects of it (_The Handbook of Health Services Research_, forthcoming 2017).

 ## Software

 > For a hint of why this section of the list might be useful to some, see [Mark Round’s Map of Data Formats and Software Tools](http://mdround.blogs.com/usingnetworks/2009/07/sna-tools-and-formats-diagram-updated.html) (2009).  
-> Several links in this section come from the [NetWiki Shared Code](http://netwiki.amath.unc.edu/SharedCode/SharedCode) page, from the Cambridge Networks Network [List of Resources for Complex Network Analysis](http://www.cnn.group.cam.ac.uk/Resources), and from the [Software for Social Network Analysis](http://www.gmw.rug.nl/~huisman/sna/software.html) page by Mark Huisman and Marijtje A.J. van Duijn. For a recent academic review on the subject, see the [Social Network Algorithms and Software](http://www.sciencedirect.com/science/article/pii/B9780080970868431211) entry of the _International Encyclopedia of Social and Behavioral Sciences_, 2nd edition (2015).  
+> Several links in this section come from the [NetWiki Shared Code](http://netwiki.amath.unc.edu/SharedCode/SharedCode) page, from the Cambridge Networks Network [List of Resources for Complex Network Analysis](http://www.cnn.group.cam.ac.uk/Resources), and from the [Software for Social Network Analysis](http://www.gmw.rug.nl/~huisman/sna/software.html) page by Mark Huisman and Marijtje A.J. van Duijn. For a recent academic review on the subject, see the [Social Network Algorithms and Software](https://doi.org/10.1016/B978-0-08-097086-8.43121-1) entry of the _International Encyclopedia of Social and Behavioral Sciences_, 2nd edition (2015).  
 > See also the [Social Network Analysis Project Survey](https://docs.google.com/spreadsheets/d/1Xo-ehJatzmxMek6gPG0h-d7yRSuiO6_flViTQNMAku0/edit#gid=0) ([blog post](http://pudo.org/blog/2013/12/21/sna-survey.html)), an earlier attempt to chart social network analysis tools that links to many commercial platforms not included in this list, such as [Detective.io](http://www.detective.io/). The Wikipedia English entry on [Social Network Analysis Software](https://en.wikipedia.org/wiki/Social_network_analysis_software) also links to many commercial that are often very expensive, outdated, and far from being awesome by any reasonable standard.  
 > Software-centric tutorials are listed below their program of choice: other tutorials are listed [in the next section](#tutorials).

@ -478,7 +483,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [Discourse Network Analyzer (DNA)](http://www.philipleifeld.com/discourse-network-analyzer/discourse-network-analyzer-dna.html) - Qualitative content analysis tool with network export facilities, written in Java with R integration.
 -   [E-Net](https://sites.google.com/site/enetsoftware1/) - Windows program for ego network analysis.
 -   [EgoNet](https://sourceforge.net/projects/egonet/) - Cross-platform Java program for ego network analysis.
-   [EgoWeb](http://egoweb.wikispaces.com/EgoWeb+2.0+Home) - Server-side software for social network data collection and processing.
+-   [EgoWeb](https://www.qualintitative.com/egoweb/) - Server-side software for social network data collection and processing.
 -   [easyN](http://www.esyn.org/) - Online tool aimed at representing and sharing gene interaction networks as well as Petri net models.
 -   [Gephi](https://gephi.github.io/) - Cross-platform, free and open source tool for network visualization.
    -   [Clément Levallois’ Gephi Tutorials](https://seinecle.github.io/gephi-tutorials/).
@ -487,6 +492,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
    -   [Practical Social Network Analysis With Gephi](http://derekgreene.com/gephitutorial/) (2014).
 -   [GLEAMviz Simulator](http://www.gleamviz.org/) - Cross-platform tool intended for the prediction of human epidemics.
 -   [Graph Commons](https://graphcommons.com/) - Collaborative platform for mapping, analyzing and publishing data-networks.
+-   [Graphia](https://graphia.app/) - Cross-platform tool to visualize large and complex networks ([announcement](https://www.cnn.group.cam.ac.uk/news/Graphia-April19)).
 -   [Graphviz](http://www.graphviz.org/) - Cross-platform software to draw graphs in the DOT graph drawing language.
 -   [Graphy](https://github.com/bruce/graphy) - Graph theory library written in Ruby.
 -   [GraphX](https://spark.apache.org/graphx/) - [Apache Spark](https://spark.apache.org/) module to perform graph-related parallel computation.
@ -505,20 +511,21 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [ORA-LITE](http://www.casos.cs.cmu.edu/projects/ora/) - Windows program for dynamic meta-network assessment and analysis.
 -   [OSoMe](http://osome.iuni.iu.edu/) - Web-based platform to analyze social media data, including through Twitter-based and co-occurrence networks.
 -   [Pajek](http://mrvar.fdv.uni-lj.si/pajek/) - Windows program for large network analysis, free for noncommercial use.
-    -   [Analyse des réseaux : une introduction à Pajek](http://quanti.hypotheses.org/512/), in French (2011).
-    -   [La détection de communautés avec Pajek 3.6](http://groupefmr.hypotheses.org/544), in French (2012).
-   [Palladio](http://palladio.designhumanities.org/) - Web-based spatial network visualization tool by the [Humanities + Design research lab at Stanford University](http://hdlab.stanford.edu/projects/palladio/).
-   [PARTNER - Program to Analyze, Record, and Track Networks to Enhance Relationships](http://partnertool.net/) - Excel-based tool for building networks from surveys.
-   [PIGALE - Public Implementation of a Graph Algorithm Library and Editor](http://pigale.sourceforge.net/) - Windows program and C++ library to analyze planar graphs.
+    -   [Analyse des réseaux : une introduction à Pajek](https://quanti.hypotheses.org/512/), in French (2011).
+    -   [La détection de communautés avec Pajek 3.6](https://groupefmr.hypotheses.org/544), in French (2012).
+-   [Palladio](http://hdlab.stanford.edu/palladio/) - Web-based spatial network visualization tool by the [Humanities + Design research lab](http://hdlab.stanford.edu/) at Stanford University.
+-   [PARTNER - Program to Analyze, Record, and Track Networks to Enhance Relationships](https://visiblenetworklabs.com/partner-cprm/) - Excel-based tool for building networks from surveys.
+-   [PIGALE - Public Implementation of a Graph Algorithm Library and Editor](https://pigale.sourceforge.net/) - Windows program and C++ library to analyze planar graphs.
 -   [PNet](http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/PNet-software/index.html) - Simulation and estimation of (one-mode and multilevel) exponential random graph models (ERGMs), written in Java for Windows.
 -   [Polinode](https://www.polinode.com/) - Web-based platform to both analyze network data as well as collect network data via relationship-based surveys.
 -   [PUCK - Program for the Use and Computation of Kinship data](http://www.kintip.net/) - Cross-platform Java program for genealogical network analysis.
-   [Radatools](http://deim.urv.cat/~sergio.gomez/radatools.php) - Set of tools intended for the analysis of complex networks, built on top of [Radalib](http://deim.urv.cat/~sergio.gomez/radalib.php), a library written in Ada.
+-   [qgis-edge-bundling](https://github.com/ait-energy/qgis-edge-bundling) - Implementation of force-directed edge bundling for the QGIS Processing toolbox.
+-   [Radatools](https://deim.urv.cat/~sergio.gomez/radatools.php) - Set of tools intended for the analysis of complex networks, built on top of [Radalib](http://deim.urv.cat/~sergio.gomez/radalib.php), a library written in Ada.
 -   [Retina](https://ouestware.gitlab.io/retina) - Web application to share GEXF and GraphML network visualizations.
-   [SageMath](http://www.sagemath.org/) - Free open-source mathematics software with extensive [graph capabilities](http://doc.sagemath.org/html/en/reference/graphs/index.html).
-   [Segrada](http://segrada.org/) - Cross-platform tool to build and visualize semantic graph databases.
-   [Siena](http://www.stats.ox.ac.uk/~snijders/siena/) - Simulation Investigation for Empirical Network Analysis. Formerly a Windows program, now developed as the RSiena R package.
-   [SocNetV - Social Network Visualizer](http://socnetv.sourceforge.net/) - Cross-platform program that includes a [simple Web crawler](http://socnetv.sourceforge.net/news/?post=socnetv-v16-released-with-a-working-web-crawler) to construct hyperlink networks.
+-   [SageMath](https://www.sagemath.org/) - Free open-source mathematics software with extensive [graph capabilities](http://doc.sagemath.org/html/en/reference/graphs/index.html).
+-   [Segrada](https://www.segrada.org/) - Cross-platform tool to build and visualize semantic graph databases.
+-   [Siena](https://www.stats.ox.ac.uk/~snijders/siena/) - Simulation Investigation for Empirical Network Analysis. Formerly a Windows program, now developed as the RSiena R package.
+-   [SocNetV - Social Network Visualizer](https://socnetv.org/) - Cross-platform program that includes a [simple Web crawler](https://socnetv.org/news/?post=socnetv-v16-released-with-a-working-web-crawler) to construct hyperlink networks.
 -   [SoNIA - Social Network Image Animator](http://web.stanford.edu/group/sonia/) - Tool to visualize dynamic or longitudinal network data. Formerly a [Java program](https://sourceforge.net/projects/sonia/) ([example movies](http://www.soc.duke.edu/~jmoody77/NetMovies/index.htm)), now developed as the ndtv R package.
 -   [SparklingGraph](https://sparkling-graph.github.io/) - Cross-platform tool to perform large-scale, distributed network computations with Apache Spark’s GraphX module; written in Java and Scala.
 -   [SPaTo Visual Explorer](http://www.spato.net/) - Cross-platform program for the visualization and exploration of complex networks.
@ -532,10 +539,10 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [UNISoN](http://unison.sleonard.co.uk/) - Cross-platform program to download and visualize Usenet data. [Developed for a Masters degree](https://github.com/leonarduk/unison/wiki/MSc-Report-Abstract).
 -   [VennMaker: An Actor-Centered Interactive Network Mapping Tool](http://www.vennmaker.com/?lang=en) - Cross-platform Java program for ego network analysis.
    -   [VennMaker for Historians: Sources, Social Networks and Software](http://revistes.uab.cat/redes/article/view/v21-during-bixier-kronenwett-stark) (also available in Spanish; 2011).
-   [Visone](http://visone.info/) - Cross-platform Java network analysis and visualization program, free for noncommercial use.
-    -   [Network Analysis with Visone Tutorial](http://visone.info/wiki/images/8/8f/VisoneTutorial-archeology.zip) - Illustrated through an archaeological case study (2015).
+-   [Visone](https://visone.ethz.ch/) - Cross-platform Java network analysis and visualization program, free for noncommercial use.
+    -   [Visone Tutorials](https://visone.ethz.ch/wiki/index.php/Tutorials) - Including one using an archaeological case study (2017).
 -   [Vizster](http://vis.stanford.edu/jheer/projects/vizster/) - Cross-platform Java program to visualize online social networks.
-   [VOSviewer](http://www.vosviewer.com/) - Cross-platform Java tool for constructing and visualizing bibliometric networks.
+-   [VOSviewer](https://www.vosviewer.com/) - Cross-platform Java tool for constructing and visualizing bibliometric networks.

 ### Algorithms

@ -543,12 +550,12 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 > See also the [Awesome Algorithms](https://github.com/tayllan/awesome-algorithms) and [Awesome Algorithm Visualization](https://github.com/enjalot/algovis) lists for more algorithmic awesomess.

 -   [algo.graph](https://github.com/clojure/algo.graph) - Basic graph theory algorithms written in Clojure.
-   [CONGA and CONGO](http://gregory.org/research/networks/software/conga.html) - Algorithms to detect overlapping communities in networks, written in Java.
+-   [CONGA and CONGO](https://gregory.org/research/networks/software/conga.html) - Algorithms to detect overlapping communities in networks, written in Java.
 -   [ForceAtlas2](https://gephi.wordpress.com/2011/06/06/forceatlas2-the-new-version-of-our-home-brew-layout/) - Force-directed layout included in Gephi ([paper](http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0098679)).
-   [Linkcomm - Link Communities in Complex Networks](https://github.com/bagrow/linkcomm) - Community detection algorithms, available in C++, Python [and R](https://cran.r-project.org/package=linkcomm).
-   [MixNet - Erdös-Rényi Mixture Model for Networks](http://ssbgroup.fr/mixnet.html) - Community detection method, available in C++ and R.
+-   [Linkcomm - Link Communities in Complex Networks](https://github.com/bagrow/linkcomm) - Community detection algorithms, available in C++, Python [and R](https://CRAN.R-project.org/package=linkcomm).
+-   [MixNet - Erdös-Rényi Mixture Model for Networks](https://ssbgroup.fr/mixnet.html) - Community detection method, available in C++ and R.
 -   [OSLOM2 - Order Statistics Local Optimization Method](http://www.oslom.org/) - Clustering algorithm.
-   [vbmod: Variational Bayesian Inference for Network Modularity](http://vbmod.sourceforge.net/) - MATLAB and Python implementations of a [Bayesian community detection algorithm](http://arxiv.org/abs/0709.3512).
+-   [vbmod: Variational Bayesian Inference for Network Modularity](https://vbmod.sourceforge.net/) - MATLAB and Python implementations of a [Bayesian community detection algorithm](https://arxiv.org/abs/0709.3512).
 -   [weighted-modularity-LPAwbPLUS](https://github.com/sjbeckett/weighted-modularity-LPAwbPLUS) - Julia, MATLAB and R implementations of two algorithms to find weighted modularity in bipartite networks.

 ### C / C++
@ -556,39 +563,39 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 > For more awesome C / C++ content, see the [Awesome C](https://github.com/aleksandar-todorovic/awesome-c) and [Awesome C / C++](https://github.com/fffaraz/awesome-cpp) lists.

 -   [Benchmark Graphs to Test Community Detection Algorithms](https://sites.google.com/site/santofortunato/inthepress2) - C++ code to generate weighted and unweighted graphs.
-   [BGL - Boost Graph Library](http://www.boost.org/doc/libs/1_60_0/libs/graph/doc/) - C++ library that provides a generic interface to access graph structures.
-   [igraph](http://igraph.org/) - C library of network analysis tools; also exists as packages for Python and R.
-   [MapEquation](http://www.mapequation.org/) - C++ code for the Infomap method of multilevel community detection.
-   [Louvain Method](https://sites.google.com/site/findcommunities/) - C++ code for the [Louvain multi-level community detection algorithm](http://arxiv.org/abs/0803.0476).
-   [networks.tb](http://networks-tb.sourceforge.net/) - C program designed for analyzing socio-semantic networks. Runs on Linux and Mac OS X.
-   [OGDF - Open Graph Drawing Framework](http://www.ogdf.net/) - Self-contained C++ class library for diagram, network and tree layouts.
+-   [BGL - Boost Graph Library](https://www.boost.org/doc/libs/1_60_0/libs/graph/doc/) - C++ library that provides a generic interface to access graph structures.
+-   [igraph](https://igraph.org/) - C library of network analysis tools; also exists as packages for Python and R.
+-   [MapEquation](https://www.mapequation.org/) - C++ code for the Infomap method of multilevel community detection.
+-   [Louvain Method](https://sites.google.com/site/findcommunities/) - C++ code for the [Louvain multi-level community detection algorithm](https://arxiv.org/abs/0803.0476).
+-   [networks.tb](https://networks-tb.sourceforge.net/) - C program designed for analyzing socio-semantic networks. Runs on Linux and Mac OS X.
+-   [OGDF - Open Graph Drawing Framework](https://ogdf.uos.de/) - Self-contained C++ class library for diagram, network and tree layouts.
 -   [OpenOrd: Large-scale Graph Layout (formerly DrL)](http://www.cs.sandia.gov/~smartin/software.html) - C++ algorithm, also available as a [Gephi plugin](https://gephi.org/plugins/#/plugin/openord-layout).
 -   [Stanford Network Analysis Project](http://snap.stanford.edu/) - C++ general purpose network analysis and graph mining library. Available as a Python library and in Microsoft Excel via NodeXL.
-   [Walktrap](https://www-complexnetworks.lip6.fr/~latapy/PP/walktrap.html) - C++ program that implements the [WalkTrap community detection algorithm](http://arxiv.org/abs/physics/0512106).
+-   [Walktrap](https://www-complexnetworks.lip6.fr/~latapy/PP/walktrap.html) - C++ program that implements the [WalkTrap community detection algorithm](https://arxiv.org/abs/physics/0512106).

 ### Java

- [GraphStream](http://graphstream-project.org/) - Java library for the modeling and analysis of dynamic graphs.
+- [GraphStream](https://graphstream-project.org/) - Java library for the modeling and analysis of dynamic graphs.
 - [Mixer](https://github.com/keith-turner/mixer) - Prototype showing how to use [Apache Fluo](https://fluo.apache.org/) to continuously merge multiple large graphs into a single derived one.

 ### JavaScript

 > For more awesome JavaScript libraries, see the [Awesome JavaScript](https://github.com/sorrycc/awesome-javascript) list.

-   [Cytoscape.js](http://js.cytoscape.org/) - Network analysis and visualization library.
+-   [Cytoscape.js](https://js.cytoscape.org/) - Network analysis and visualization library.
 -   [d3.js](https://d3js.org/) - JavaScript visualization library that can plot [force-directed graphs](http://bl.ocks.org/mbostock/4062045).
    -   [d3-force: Force-directed graph layout](https://github.com/d3/d3-force) using velocity Verlet integration.
    -   [d3-vector: Define connections between nodes as directional vectors](https://github.com/thepeoplesbourgeois/d3-vector), consisting of angles and magnitudes.
-   [GENSI](http://www.tobiasstark.nl/GENSI/GENSI.htm) - JavaScript graphical tool to collect ego-centered network data ([paper](http://www.sciencedirect.com/science/article/pii/S0378873316300284)).
-   [GoJS](http://gojs.net/) - Visualization library to draw diagrams and several types of network layouts.
+-   [GENSI](http://www.tobiasstark.nl/GENSI/GENSI.htm) - JavaScript graphical tool to collect ego-centered network data ([paper](https://doi.org/10.1016/j.socnet.2016.07.007)).
+-   [GoJS](https://gojs.net/) - Visualization library to draw diagrams and several types of network layouts.
 -   [Graphology](https://graphology.github.io/) - Specification and reference implementation for a robust and multipurpose JavaScript `Graph` object.
-   [greuler](https://mauriciopoppe.github.io/greuler/) - Visualization library to build and manipulate graphs through a simple API. Powered by d3.js and [WebCola](http://marvl.infotech.monash.edu/webcola/).
+-   [greuler](https://mauriciopoppe.github.io/greuler/) - Visualization library to build and manipulate graphs through a simple API. Powered by d3.js and [WebCola](https://ialab.it.monash.edu/webcola/).
 -   [jLouvain](https://github.com/upphiminn/jLouvain) - Louvain community detection for Javascript ([example](http://bl.ocks.org/emeeks/125db75c9b55ddcbdeb5)).
 -   [NetworkCube](https://github.com/networkcube/networkcube) - "Dynamic Network Visualizations [for] Domain Scientists." For demo examples, see [The Vistorian](https://networkcube.github.io/vistorian/).
 -   [Oligrapher](https://github.com/public-accountability/oligrapher) - Library initially developed to visualise ["networks of influence" among U.S. elites](https://littlesis.org/).
-   [Popoto.js](http://www.popotojs.com/) - Library based on d3.js that provides a graph based search interface.
-   [Sigma](http://sigmajs.org/) - JavaScript library dedicated to graph drawing.
-   [vis.js](http://visjs.org/) - JavaScript library with network visualization capabilities.
+-   [Popoto.js](https://github.com/Nhogs/popoto) - Library based on d3.js that provides a graph based search interface.
+-   [Sigma](https://www.sigmajs.org/) - JavaScript library dedicated to graph drawing.
+-   [vis.js](https://visjs.org/) - JavaScript library with network visualization capabilities.
 -   [VivaGraphJS](https://github.com/anvaka/VivaGraphJS) - Graph drawing library ([ForceAtlas2 plugin](https://github.com/graphcommons/viva.forceatlas2)).
 -   [viz.js](https://mdaines.github.io/viz.js/) - Use Graphviz in Web pages.

@ -601,6 +608,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
    -   [Dynamic Network Analysis in Julia](http://eprints.ma.man.ac.uk/2376/01/julia_eg_report.pdf).
 -   [Graphs.jl](https://github.com/JuliaLang/Graphs.jl) - Package to manipulate graph objects in Julia.
    -   [Creating Network Diagrams in Plotly from Julia](http://badhessian.org/2014/05/creating-network-diagrams-in-plotly-from-julia/).
+    -   [MetaGraphs](https://github.com/JuliaGraphs/MetaGraphs.jl) - Graph data structures with multiple heterogeneous metadata for Graphs.jl.
 -   [JuliaGraphs](https://github.com/JuliaGraphs) - Suite of Julia packages for network analysis.
    -   [GraphVisualize.jl](https://github.com/JuliaGraphs/GraphVisualize.jl) - Graph visualization built on top of [GLVisualize.jl](https://github.com/JuliaGL/GLVisualize.jl).
    -   [LightGraphs.jl](https://github.com/JuliaGraphs/LightGraphs.jl) - Graph library with a focus on performance and simplicity.
@ -623,7 +631,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [Complex Networks Package for MatLab](http://www.levmuchnik.net/Content/Networks/ComplexNetworksPackage.html).
 -   [CONTEST](http://www.maths.strath.ac.uk/research/groups/numerical_analysis/contest) - Random network toolbox that implements nine network models.
 -   [Generalized Louvain](http://netwiki.amath.unc.edu/GenLouvain/GenLouvain) - Variant of the Louvain community detection algorithm.
-   [MatlabBGL](http://dgleich.github.io/matlab-bgl/) - Graph library based on the C++ Boost Graph Library.
+-   [MatlabBGL](https://dgleich.github.io/matlab-bgl/) - Graph library based on the C++ Boost Graph Library.
 -   [MATLAB RBN Toolbox](http://www.teuscher.ch/rbntoolbox/index.htm) - Simulation und visualization of Random Boolean Networks.

 ### Python
@ -644,14 +652,15 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [linkpred](https://github.com/rafguns/linkpred) - Assess the likelihood of potential links in a future snapshot of a network.
 -   [littleballoffur](https://github.com/benedekrozemberczki/littleballoffur) - Python package for sampling from graph structured data with a scikit-learn like API.
 -   [metaknowledge](http://networkslab.org/metaknowledge/) - Python package to turn bibliometrics data into authorship and citation networks.
-   [networkx](http://networkx.github.io/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
+-   [networkx](https://networkx.org/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
    -   [Implementing an ERGM from Scratch in Python](https://gist.github.com/dmasad/8509304), using networkx and numpy (2014).
    -   [nxviz](https://github.com/ericmjl/nxviz/) - Visualization package for NetworkX.
 -   [nngt](https://nngt.readthedocs.io) - Library-agnostic graph generation and analysis that wraps around `networkx`, `igraph` and `graph-tool`). Includes normalized graph measures, advanced visualizations, (geo)spatial tools, and interfaces for neuroscience simulators.
 -   [npartite](https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks.
 -   [PyGraphistry](https://github.com/graphistry/pygraphistry) - Python library to extract, transform, and visually explore big graphs.
 -   [python-igraph](http://igraph.org/python/) - Python version of the igraph network analysis package.
-   [python-louvain](http://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.
+-   [python-louvain](https://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.
+-   [scipy.sparse.csgraph](https://docs.scipy.org/doc/scipy/reference/sparse.csgraph.html#module-scipy.sparse.csgraph) - Fast graph algorithms based on sparse matrix representations.
 -   [Snap.py](http://snap.stanford.edu/snappy/index.html) - A Python interface for SNAP (a general purpose, high performance system for analysis and manipulation of large networks).
 -   [SnapVX](https://github.com/snap-stanford/snapvx) - A convex optimization solver for problems defined on a graph.
 -   [tnetwork](https://github.com/Yquetzal/tnetwork) - Python library for temporal networks, and dynamic community detection in particular.
@ -668,25 +677,29 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [amen](https://CRAN.R-project.org/package=amen) - Additive and multiplicative effects models for relational data.
 -   [backbone](https://CRAN.R-project.org/package=backbone) - Provides methods for binarizing a weighted network retaining only significant edges.
    - [Introduction to the backbone package](https://arxiv.org/abs/1912.12779)
-   [Bergm](https://CRAN.R-project.org/package=Bergm) - Tools to analyse Bayesian exponential random graph models (BERGM).
+-   [Bergm](https://CRAN.R-project.org/package=Bergm) - Tools to analyse Bayesian exponential random graph models (BERGM). Related Twitter: [@BayesianSNA](https://twitter.com/BayesianSNA).
 -   [bipartite](https://CRAN.R-project.org/package=bipartite) - Functions to visualize bipartite (two-mode) networks and compute indices commonly used in ecological research. See also: `levelnet` R package.
 -   [blockmodeling](https://CRAN.R-project.org/package=blockmodeling) - Implementats generalized blockmodeling for valued networks.
 -   [bnlearn](https://CRAN.R-project.org/package=bnlearn) - Tools for [Bayesian network learning and inference](http://www.bnlearn.com/) ([related Shiny app](https://paulgovan.github.io/RiskNetwork)).
-   [brainGraph](https://cran.r-project.org/package=brainGraph) - Tools for performing graph theory analysis of brain MRI data.
+-   [brainGraph](https://CRAN.R-project.org/package=brainGraph) - Tools for performing graph theory analysis of brain MRI data.
 -   [btergm](https://CRAN.R-project.org/package=btergm) - Tools to fit temporal ERGMs by bootstrapped pseudolikelihood. Also provides MCMC maximum likelihood estimation, goodness of fit for ERGMs, TERGMs, and stochastic actor-oriented models (SAOMs), and tools for the micro-level interpretation of ERGMs and TERGMs.
 -   [CCAS](https://github.com/matthewjdenny/CCAS) - Statistical model for communication networks.
 -   [concoR](https://github.com/aslez/concoR) - Implementation of the CONCOR network blockmodeling algorithm ([blog post](http://badhessian.org/2015/05/concor-in-r/)).
 -   [ContentStructure](https://github.com/matthewjdenny/ContentStructure) - Implements an extension to the [Topic-Partitioned Multinetwork Embeddings (TPME) model](http://dirichlet.net/pdf/krafft12topic-partitioned.pdf).
 -   [DiagrammeR](https://github.com/rich-iannone/DiagrammeR) - Connects R, RStudio and JavaScript libraries to draw graph diagrams ([blog post](https://blog.rstudio.org/2015/05/01/rstudio-v0-99-preview-graphviz-and-diagrammer/)).
-   [dodgr](https://cran.r-project.org/package=dodgr) - Computes distances on dual-weighted directed graphs, such as street networks, using priority-queue shortest paths.
-   [ergm](https://CRAN.R-project.org/package=ergm) - Estimation of Exponential Random Graph Models (ERGM).
+-   [dodgr](https://CRAN.R-project.org/package=dodgr) - Computes distances on dual-weighted directed graphs, such as street networks, using priority-queue shortest paths.
+-   [EpiModel](https://CRAN.R-project.org/package=EpiModel) - Tools for simulating mathematical models of infectious disease dynamics ([presentation paper](https://doi.org/10.18637%2Fjss.v084.i08)).
+-   [ergm](https://CRAN.R-project.org/package=ergm) - Estimation of Exponential Random Graph Models (ERGMs).
    -   [ERGM: edgecov and dyadcov Specifications](http://mjh4.blogspot.com/2012/09/ergm-edgecov-and-dyadcov-specifications.html).
+-   [ergMargins](https://CRAN.R-project.org/package=ergMargins) - Process analysis for ERGMs.
+-   [ergmito](https://CRAN.R-project.org/package=ergmito) - ERGMs for small networks.
+-   [fergm](https://CRAN.R-project.org/package=fergm) - Frailty ERGMs.
 -   [GERGM](https://CRAN.R-project.org/package=GERGM) - Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM).
-   [geomnet](https://CRAN.R-project.org/package=geomnet) - Single-geometry approach to network visualization with ggplot2.
-   [ggnetwork](https://CRAN.R-project.org/package=ggnetwork) - Multiple-geometries approach to plot network objects with ggplot2.
-   [ggraph](https://CRAN.R-project.org/package=ggraph) - Grammar of graph graphics built in the spirit of ggplot2. See also: `tidygraph` R package.
+-   [geomnet](https://CRAN.R-project.org/package=geomnet) - Single-geometry approach to network visualization with `ggplot2`.
+-   [ggnetwork](https://CRAN.R-project.org/package=ggnetwork) - Multiple-geometries approach to plot network objects with `ggplot2`.
+-   [ggraph](https://CRAN.R-project.org/package=ggraph) - Grammar of graph graphics built in the spirit of `ggplot2`. See also: `tidygraph` R package.
 -   [goldfish](https://github.com/snlab-ch/goldfish) - Dynamic Network Actor-Oriented Model (DyNAM) for the statistical analysis of coordination networks through time.
-   [graphlayouts](https://cran.r-project.org/package=graphlayouts) - Layout algorithms based on the concept of [stress majorization](https://doi.org/10.1007/978-3-540-31843-9_25).
+-   [graphlayouts](https://CRAN.R-project.org/package=graphlayouts) - Layout algorithms based on the concept of [stress majorization](https://doi.org/10.1007/978-3-540-31843-9_25).
    -   [Introducing graphlayouts with Game of Thrones](http://blog.schochastics.net/post/introducing-graphlayouts-with-got/).
    -   [Network Visualizations in R using ggraph and graphlayouts](http://mr.schochastics.net/netVizR.html).
 -   [hergm](https://CRAN.R-project.org/package=hergm) - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence.
@ -698,14 +711,15 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [latentnet](https://CRAN.R-project.org/package=latentnet) - Latent position and cluster models for network objects.
 -   [levelnet](https://github.com/schochastics/levelnet) - Experimental package to analyze one-mode projections of bipartite (two-mode) networks. See also: `bipartite` R package.
 -   [lpNet](https://www.bioconductor.org/packages/release/bioc/html/lpNet.html) - Linear programming model aimed at infering biological (signalling, gene) networks.
-   [multinet](https://cran.r-project.org/package=multinet) - Tools for multilayer social networks.
+-   [multigraphr](https://github.com/termehs/multigraphr) - Random multigraph models, statisticsof multigraph properties, and goodness of fit tests.
+-   [multinet](https://CRAN.R-project.org/package=multinet) - Tools for multilayer social networks.
    - [Related book and data](http://multilayer.it.uu.se/), and [presentation article](http://multilayer.it.uu.se/papers/jss.pdf). See `uunet` for the Python version.
-   [migraph](https://cran.r-project.org/web/packages/migraph/) - A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks.
+-   [migraph](https://CRAN.R-project.org/web/packages/migraph/) - A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks.
 -   [ndtv](https://CRAN.R-project.org/package=ndtv) - Tools to construct animated visualizations of dynamic network data in various formats.
 -   [neo4r](https://github.com/neo4j-rstats/neo4r) - Neo4J driver for R.
-   [networkD3](http://christophergandrud.github.io/networkD3/) - Create d3.js network graphs from R.
+-   [networkD3](https://christophergandrud.github.io/networkD3/) - Create d3.js network graphs from R.
 -   [netdiffuseR](https://CRAN.R-project.org/package=netdiffuseR) - Tools to analyze the network diffusion of innovations.
-   [netrankr](https://cran.r-project.org/package=netrankr) - Up-to-date collection of network centrality indices, with lots of documentation.
+-   [netrankr](https://CRAN.R-project.org/package=netrankr) - Up-to-date collection of network centrality indices, with lots of documentation.
    -   [Network Centrality in R: An Introduction](http://blog.schochastics.net/post/network-centrality-in-r-introduction/) - Includes a review of relevant R packages.
    -   [Network Centrality in R: Neighborhood Inclusion](http://blog.schochastics.net/post/network-centrality-in-r-neighborhood-inclusion/).
    -   [Network Centrality in R: New Ways of Measuring Centrality](http://blog.schochastics.net/post/network-centrality-in-r-new-ways-of-measuring-centrality/) (2018).
@ -724,7 +738,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
    -   [qgraph Examples](http://sachaepskamp.com/qgraph/examples).
    -   [qgraph: Network Visualizations of Relationships in Psychometric Data](https://www.jstatsoft.org/article/view/v048i04) (2012).
 -   [relevent](https://CRAN.R-project.org/package=relevent) - Tools to fit relational event models (REM).
-    -   [informR](https://cran.r-project.org/package=informR) - Tools to create sequence statistics from event lists to be used in `relevent`.
+    -   [informR](https://CRAN.R-project.org/package=informR) - Tools to create sequence statistics from event lists to be used in `relevent`.
 -   [rem](https://CRAN.R-project.org/package=rem) - Estimate endogenous network effects in event sequences and fit relational event models (REM), which measure how networks form and evolve over time.
 -   [rgexf](https://CRAN.R-project.org/package=rgexf) - Export network objects from R to GEXF for manipulation with software like Gephi or Sigma.
 -   [Rgraphviz](https://bioconductor.org/packages/release/bioc/html/Rgraphviz.html) - Support for using the Graphviz library and its DOT graph drawing language from within R.
@ -737,15 +751,15 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [SocialMediaLab](https://CRAN.R-project.org/package=SocialMediaLab) - Tools for collecting social media data and generating networks from it ([companion website](http://vosonlab.net/SocialMediaLab), [github repo](https://github.com/voson-labSocialMediaLab)).
 -   [spectralGOF](http://people.bu.edu/jccs/spectralGOF.html) - Computes the spectral goodness of fit (SGOF), a measure of how well a network model explains the structure of an observed network.
 -   [spnet](https://CRAN.R-project.org/package=spnet) - Methods for visualizing spatial networks on maps in the `sp` class.
-   [spNetwork](https://cran.r-project.org/package=spNetwork) - Methods for spatial network analysis, including e.g. kernel density estimation, distances and point pattern analysis.
-   [statnet](http://statnet.org/) - The project behind many R network analysis packages ([mailing-list](https://mailman.u.washington.edu/mailman/listinfo/statnet_help), [wiki](https://statnet.org/trac)).
-    -   [Exponential Random Graph Models (ERGMs) Using statnet](https://statnet.org/trac/raw-attachment/wiki/Sunbelt2015/ergm_tutorial.html) (2015).
+-   [spNetwork](https://CRAN.R-project.org/package=spNetwork) - Methods for spatial network analysis, including e.g. kernel density estimation, distances and point pattern analysis.
+-   [statnet](https://statnet.org/) - The project behind many R network analysis packages ([mailing-list](https://mailman13.u.washington.edu/mailman/listinfo/statnet_help), [tutorials/workshops](https://statnet.org/workshops/)).
+    -   [Exponential Random Graph Models (ERGMs) Using statnet](https://statnet.org/workshop-ergm/ergm_tutorial.html) (2022).
    -   [Guides for Using the statnet Package](http://www.melissaclarkson.com/resources/R_guides/) (2010).
-    -   [Modeling Valued Networks with statnet](https://statnet.org/trac/raw-attachment/wiki/Sunbelt2013/Valued.pdf) (2013).
+    -   [Modeling Valued Networks with statnet](https://statnet.org/workshop-valued/valued.html) (2022).
 -   [tergm](https://CRAN.R-project.org/package=tergm) - Fit, simulate and diagnose models for temporal exponential-family random graph models (TERGM).
 -   [tidygraph](https://CRAN.R-project.org/package=tidygraph) - ‘Tidy’ approach to building graph structures. See also: `ggraph` R package.
    -   [Introducing tidygraph](https://www.data-imaginist.com/2017/introducing-tidygraph/)
-    -   [Tidying up your network analysis with tidygraph and ggraph](https://www.rstudio.com/resources/videos/tidying-up-your-network-analysis-with-tidygraph-and-ggraph/)
+    -   [Tidying up your network analysis with tidygraph and ggraph](https://posit.co/resources/videos/tidying-up-your-network-analysis-with-tidygraph-and-ggraph/)
 -   [tnam](https://CRAN.R-project.org/package=tnam) - Tools to fit temporal and cross-sectional network autocorrelation models (TNAM).
 -   [tnet](https://CRAN.R-project.org/package=tnet) - Network measures for weighted, two-mode and longitudinal networks.
 -   [tsna](https://CRAN.R-project.org/package=tsna) - Tools for temporal social network analysis.
@ -764,8 +778,8 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [DOT](http://www.graphviz.org/doc/info/lang.html) - Graph drawing syntax used by the Graphviz software.
 -   [GEXF](https://gephi.org/gexf/format/) - File format used by the Gephi software.
 -   [GraphML](http://graphml.graphdrawing.org/) - Comprehensive and easy-to-use file format for graphs ([handbook chapter](https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/BrEiLe10.pdf)).
-   [JGraphT](http://jgrapht.org/) - Java graph library for graph data structures and algorithms ([example algorithms](https://github.com/agouge/Java-Network-Analyzer)).
-   [JUNG - Java Universal Network/Graph Framework](http://jung.sourceforge.net/) - Extensible library to represent network objects.
+-   [JGraphT](https://jgrapht.org/) - Java graph library for graph data structures and algorithms ([example algorithms](https://github.com/agouge/Java-Network-Analyzer)).
+-   [JUNG - Java Universal Network/Graph Framework](https://jung.sourceforge.net/) - Extensible library to represent network objects.
 -   [PGF/TikZ](http://www.ctan.org/tex-archive/graphics/pgf/) - [Tandem](https://en.wikipedia.org/wiki/PGF/TikZ) of vector graphics languages that can be used to draw graphs in the [LaTeX](https://latex-project.org/) typesetting environment.
    -   [Awesome LaTeX: TiKZ](https://github.com/egeerardyn/awesome-LaTeX#tikz).
    -   [How to Draw Graphs in LaTeX?](https://tex.stackexchange.com/questions/57152/how-to-draw-graphs-in-latex)
@ -810,10 +824,10 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [Open Graph protocol](http://ogp.me/) - A proposed standard to turn any Web page into a “social graph object.”
 -   [Periodic Table of Network Centrality](http://schochastics.net/sna/periodic.html) - Interactive periodic table of centrality indices.
 -   [Picking Sides](https://codeandculture.wordpress.com/2015/04/03/picking-sides/) - Community detection in the political network of Middle Eastern alliances between various state and nonstate powers ([updated version](https://gist.github.com/briatte/c6df2f855afb4eb142e6)).
-   [Plan interactif du métro](http://www.jeromecukier.net/projects/metro/map.html) - Interactive visualization of the Paris metro network, drawn with d3.js, in French.
+<!-- -   [Plan interactif du métro](http://www.jeromecukier.net/projects/metro/map.html) - Interactive visualization of the Paris metro network, drawn with d3.js, in French. -->
 -   [Psych Networks](http://psych-networks.com/) - Website with news, references and [tutorials](https://psych-networks.com/tutorials/) about network modeling for psychological data.
  - [Tutorial Paper on New Methods for Estimating Psychological Networks](http://psych-networks.com/tutorial-paper-new-methods-estimating-psychological-networks/).
-   [(Psychological) Network Analysis Workshops](http://eiko-fried.com/network-workshop/) - 3-day workshop on psychological network analysis using R.
+-   [(Psychological) Network Analysis Workshops](https://osf.io/6axte/) - 3-day workshop on psychological network analysis using R (2019).
 -   [Should I do Social Network Analysis?](https://cvcedhlab.hypotheses.org/125).
 -   [The Small World of Psychopathology](http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0027407) - Paper on how psychiatric symptoms connec to each other ([code, data and graphs](https://sites.google.com/site/dsmgraphs/Home/files)).
 -   [Social Network Analysis in DBpedia](http://othes.univie.ac.at/12285/1/2010-10-14_0703857.pdf) - Highly didactic Master’s dissertation, showing how to use SPARQL and Pajek.
@ -822,10 +836,10 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [A Sociology Citation Network](http://nealcaren.web.unc.edu/a-sociology-citation-network/) and [A Co-citation Network for Philosophy](https://kieranhealy.org/blog/archives/2013/06/18/a-co-citation-network-for-philosophy/) - Examples of scientific co-citation networks.
 -   [Using Metadata to Find Paul Revere](https://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/) and [The Other Ride of Paul Revere: The Brokerage Role in the Making of the American Revolution](http://www.sscnet.ucla.edu/polisci/faculty/chwe/ps269/han.pdf) - Network analysis applied to American revolutionaries.
 -   [Visual Complexity. An Exploration on Mapping Complex Networks](http://www.visualcomplexity.com/vc/) - Tons of beautiful network and tree visualizations ([book](http://www.visualcomplexity.com/vc/book/), also in Chinese and French).
-   [Visualizing Historical Networks](https://www.fas.harvard.edu/~histecon/visualizing/index.html) - Historical network research projects at Harvard University.
-    -   [Angoulême in 1764](https://www.fas.harvard.edu/~histecon/visualizing/angouleme/index.html).
-    -   [Economists in Cambridge](https://www.fas.harvard.edu/~histecon/visualizing/graphing/economists.html).
-    -   [The Inner Life of Empires: An Eighteenth Century History](https://www.fas.harvard.edu/~histecon/visualizing/graphing/innerlife.html).
+-   [Visualizing Historical Networks](https://histecon.fas.harvard.edu/visualizing/index.html) - Historical network research projects at Harvard University.
+    -   [Angoulême in 1764](https://histecon.fas.harvard.edu/visualizing/angouleme/index.html).
+    -   [Economists in Cambridge](https://histecon.fas.harvard.edu/visualizing/graphing/economists.html).
+    -   [The Inner Life of Empires: An Eighteenth Century History](https://histecon.fas.harvard.edu/visualizing/graphing/innerlife.html).

 ### Blog Series

@ -835,7 +849,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [Blog Posts About Networks by Aaron Clauset](https://www.cs.unm.edu/~aaron/blog/archives/networks/index.htm).
 -   [Blog Posts About Networks by Baptiste Coulmont](http://coulmont.com/index.php?s=r%C3%A9seaux), in French.
 -   [Blog Posts About Networks by Cosma R. Shalizi](http://bactra.org/weblog/cat_networks.html).
-   [Blog Posts About Networks by François Briatte](http://politbistro.hypotheses.org/tag/reseaux), in French.
+-   [Blog Posts About Networks by François Briatte](https://politbistro.hypotheses.org/tag/reseaux), in French.
 -   [Blog Posts About Networks by Katya Ognyanova](http://kateto.net/networks).
 -   [Blog Posts About Networks by Pierre Mercklé](http://pierremerckle.fr/category/reseaux/), in French.
 -   [Blog Posts About Networks on the Bad Hessian Blog](http://badhessian.org/category/networks/), by various contributors.
@ -864,34 +878,34 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
      -   [Stochastic Block Models](http://bactra.org/notebooks/stochastic-block-models.html).
            -   See also: [An Annotated Bibliography on Stochastic Blockmodels](https://www.alexpghayes.com/blog/an-annotated-bibliography-on-stochastic-block-models/) (2019).
 -   Daniel Little’s blog posts on the philosophy of social science:
-      -   [Networks](http://understandingsociety.blogspot.com/search/label/networks).
-      -   [Social Networks](http://understandingsociety.blogspot.com/search/label/social%20networks).
+      -   [Networks](https://understandingsociety.blogspot.com/search/label/networks).
+      -   [Social Networks](https://understandingsociety.blogspot.com/search/label/social%20networks).
 -   Martin Grandjean’s blog posts about (mostly) network visualization, in English and French:
-      -   [Network Analysis](http://www.martingrandjean.ch/tag/analyse-de-reseau/).
-      -   [Social Networks](http://www.martingrandjean.ch/tag/reseaux-sociaux/).
-   [Networks Demystified](http://scottbot.net/tag/networks-demystified/), a series of blog posts by Scott B. Weingart.
-   [Netze und Netzwerke](http://netzeundnetzwerke.de/), in English and German - Blog on the history of network analysis, by Sebastian Gießmann ([old blog](http://www.netzeundnetzwerke.de/old/)).
-   [R / Notes: Networks](http://f.briatte.org/r/category/networks) - Blog posts focused on manipulating networks in R, by François Briatte.
+      -   [Network Analysis](https://www.martingrandjean.ch/tag/analyse-de-reseau/).
+      -   [Social Networks](https://www.martingrandjean.ch/tag/reseaux-sociaux/).
+-   [Networks Demystified](http://www.scottbot.net/HIAL/index.html@tag=networks-demystified.html), a series of blog posts by Scott B. Weingart.
+-   [Netze und Netzwerke](https://netzeundnetzwerke.de/), in English and German - Blog on the history of network analysis, by Sebastian Gießmann ([old blog](http://www.netzeundnetzwerke.de/old/)).
+-   [R / Notes: Networks](https://f.briatte.org/r/category/networks) - Blog posts focused on manipulating networks in R, by François Briatte.
 -   [TNT: The Network Thinkers](http://www.thenetworkthinkers.com/) - Valdis Krebs’ blog.
 -   [Under Roquentin’s Chestnut Tree](https://mboudour.github.io/) - Moses Boudourides’ blog on analyzing (mostly) networks with Python.
 -   Yannick Rochat’s blog posts about digital humanities, in English and French:
-      -   [Character Networks](http://yro.ch/tag/character-network/).
-      -   [Network Analysis](http://yro.ch/tag/network-analysis/).
+      -   [Character Networks](https://yro.ch/tag/character-network/).
+      -   [Network Analysis](https://yro.ch/tag/network-analysis/).

 ### Fictional Networks

 > Explorations of fictional character networks.

 -   [Analyzing Networks of Characters in _Love Actually_](http://varianceexplained.org/r/love-actually-network/) - Features a cluster analysis and a [Shiny app](https://dgrtwo.shinyapps.io/love-actually-network/) (using R + Shiny).
-   [Character Co-Occurrences in Victor Hugo’s _Les Misérables_](http://bokeh.pydata.org/en/latest/docs/gallery/les_mis.html), plotted as an adjacency matrix, written in Python (+ Javascript).
-   [Events in the _Game of Thrones_](http://www.jeromecukier.net/projects/agot/events.html) and [Places in the _Game of Thrones_](http://www.jeromecukier.net/projects/agot/places.html) - Networked chronologies of character alliances, kills and travels in the book series, drawn with d3.js.
+-   [Character Co-Occurrences in Victor Hugo’s _Les Misérables_](https://docs.bokeh.org/en/latest/docs/examples/topics/categorical/les_mis.html), plotted as an adjacency matrix, written in Python (+ Javascript).
+<!-- -   [Events in the _Game of Thrones_](http://www.jeromecukier.net/projects/agot/events.html) and [Places in the _Game of Thrones_](http://www.jeromecukier.net/projects/agot/places.html) - Networked chronologies of character alliances, kills and travels in the book series, drawn with d3.js. -->
 -   [Lessons on Exponential Random Graph Modeling from _Grey’s Anatomy_ hook-ups](http://badhessian.org/2012/09/lessons-on-exponential-random-graph-modeling-from-greys-anatomy-hook-ups/) (using R).
 -   [Network Analysis of Shakespeare’s _Macbeth_](https://mboudour.github.io/2015/10/28/Shakespeare's-Macbeth-Network.html) (using Python).
 -   [The Network and Trajectories of Transitions among Sentential Co-Occurrences of Characters of Arthur Conan Doyle’s _A Study in Scarlet_](https://mboudour.github.io/2016/04/17/Arthur-Conan-Doyle's-A-Study-in-Scarlet-Network-&-Trajectories.html) (using Python; [code](https://github.com/mboudour/WordNets/blob/master/ArthurConanDoyle_AStudyInScarlet_Network%26Trajectories.ipynb)).
-   [Network Visualization: Mapping Shakespeare’s Tragedies](http://www.martingrandjean.ch/network-visualization-shakespeare/).
-   [Social Network Analysis of _Alice in Wonderland_](http://www.cs.columbia.edu/~apoorv/Homepage/Publications_files/naacl2012.pdf).
+-   [Network Visualization: Mapping Shakespeare’s Tragedies](https://www.martingrandjean.ch/network-visualization-shakespeare/).
+-   [Social Network Analysis of _Alice in Wonderland_](https://aclanthology.org/W12-2513/).
 -   [_Star Wars_ Social Networks: The Force Awakens](http://evelinag.com/blog/2016/01-25-social-network-force-awakens/index.html) - Also an example of a social network analysis written in F#.
-   [Universal Properties of Mythological Networks](http://epljournal.edpsciences.org/articles/epl/abs/2012/14/epl14724/epl14724.html) ([preprint](http://arxiv.org/abs/1205.4324)).
+-   [Universal Properties of Mythological Networks](https://doi.org/10.1209/0295-5075/99/28002) ([preprint](https://arxiv.org/abs/1205.4324)).

 ### Network Science

@ -899,13 +913,13 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this

 -   [Editing a Normal Science Journal in Social Science](https://journals.openedition.org/bms/595) - Reflections on the _Social Networks_ journal by its founding editor.
 -   [The Emergence of Network Science](https://www.cornell.edu/video/emergence-of-network-science) - Video documentary, featuring Steven H. Strogatz and many others.
-   From [Albert-László Barabási’s review articles](http://barabasi.com/publications/1/review-articles):
-    -   [Taming Complexity](http://barabasi.com/f/182.pdf).
-    -   [The Network Takeover](http://barabasi.com/f/362.pdf).
-   [The Invasion of the Physicists](http://www.sciencedirect.com/science/article/pii/S0378873304000309) - How “network _science_” came up.
-   [Isolated Social Networkers](http://crookedtimber.org/2005/05/19/isolated-social-networkers/), [Networks and Netwars](http://bactra.org/weblog/347.html) and [The Inter-Disciplinary Politics of Interdisciplinary Research or, “Hey, That Was My Idea First.”](https://www.cs.unm.edu/~aaron/blog/archives/2005/05/the_interdiscip.htm) - Series of blog posts that predate the advent of “network science” as a buzzword, but that touch upon the same issues as those now being discussed under that heading.
+-   From [Albert-László Barabási’s review articles](https://barabasi.com/publications/1/review-articles):
+    -   [Taming Complexity](https://barabasi.com/f/182.pdf).
+    -   [The Network Takeover](https://barabasi.com/f/362.pdf).
+-   [The Invasion of the Physicists](https://doi.org/10.1016/j.socnet.2004.06.002) - How “network _science_” came up.
+-   [Isolated Social Networkers](https://crookedtimber.org/2005/05/19/isolated-social-networkers/), [Networks and Netwars](http://bactra.org/weblog/347.html) and [The Inter-Disciplinary Politics of Interdisciplinary Research or, “Hey, That Was My Idea First.”](https://www.cs.unm.edu/~aaron/blog/archives/2005/05/the_interdiscip.htm) - Series of blog posts that predate the advent of “network science” as a buzzword, but that touch upon the same issues as those now being discussed under that heading.
 -   [The ‘New’ Science of Networks](https://www.jstor.org/stable/29737693) - Review of network science books published in 2002-2003.
-   [Predicting Highly Cited Papers](http://arxiv.org/abs/1310.8220) - Prediction of the next highly cited papers in network science.
+-   [Predicting Highly Cited Papers](https://arxiv.org/abs/1310.8220) - Prediction of the next highly cited papers in network science.
 -   [Social Network and Network Science Co-Citations Across Disciplines in 1996-2013](https://github.com/raffaelevacca/EUSN-co-citation-networks).
 -   [Three Hard Questions about Network Science](http://environmentalpolicy.ucdavis.edu/node/292).
 -   [A Twenty-First Century Science](http://www.nature.com/nature/journal/v445/n7127/full/445489a.html) - Essay by Duncan J. Watts.
@ -927,11 +941,11 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this

 > Also known as bipartite graphs.

-   [L’analyse des graphes bipartis](https://halshs.archives-ouvertes.fr/FMR/halshs-00794976), in French (2013).
-   [Basic Notions for the Analysis of Large Two-mode Networks](http://www.sciencedirect.com/science/article/pii/S0378873307000494)  ([preprint](https://www-complexnetworks.lip6.fr/~latapy/Publis/socnet07.pdf), [related code](https://www-complexnetworks.lip6.fr/~latapy/Bip/); _Social Networks_, 2008).
+-   [L’analyse des graphes bipartis](https://shs.hal.science/halshs-00794976), in French (2013).
+-   [Basic Notions for the Analysis of Large Two-mode Networks](https://doi.org/10.1016/j.socnet.2007.04.006)  ([preprint](https://www-complexnetworks.lip6.fr/~latapy/Publis/socnet07.pdf), [related code](https://www-complexnetworks.lip6.fr/~latapy/Bip/); _Social Networks_, 2008).
 -   [Fitting Large Signed Two-mode Blockmodels: Problems and Prospects](http://patrickdoreian.com/wp-content/uploads/2017/12/large-signed-2mode-networks_UNGA.pdf).
-   [Generalized Blockmodeling of Two-mode Network Data](http://www.sciencedirect.com/science/article/pii/S0378873304000036) ([preprint](http://vlado.fmf.uni-lj.si/pub/networks/doc/preprint/TwoMode.pdf)).
-   [Generalized Two-Mode Cores](http://www.sciencedirect.com/science/article/pii/S0378873315000271).
+-   [Generalized Blockmodeling of Two-mode Network Data](https://doi.org/10.1016/j.socnet.2004.01.002) ([preprint](http://vlado.fmf.uni-lj.si/pub/networks/doc/preprint/TwoMode.pdf)).
+-   [Generalized Two-Mode Cores](https://doi.org/10.1016/j.socnet.2015.04.001).
 -   [Partitioning Signed Two-Mode Networks](http://patrickdoreian.com/wp-content/uploads/2017/12/partitioning-signed-social-networks.pdf).
 -   [Working with Bipartite/Affiliation Network Data in R](https://solomonmessing.wordpress.com/2012/09/30/working-with-bipartiteaffiliation-network-data-in-r/) (2012).

@ -943,10 +957,10 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this

 To the extent possible under law, the authors of this list – by chronological order: [François Briatte](https://f.briatte.org/), 
 [Ian McCulloh](https://www.linkedin.com/in/mcculloh), 
-[Aditya Khanna](http://home.uchicago.edu/~khanna7), 
+[Aditya Khanna](https://vivo.brown.edu/display/akhann16), 
 [Manlio De Domenico](https://manliodedomenico.com/), 
 Patrick Kaminski, 
-[Ericka Menchen-Trevino](http://www.ericka.cc/), 
+[Ericka Menchen-Trevino](https://erickaakcire.github.io/), 
 [Tam-Kien Duong](https://github.com/taniki), 
 [Jeremy Foote](https://github.com/jdfoote), 
 [Catherine Cramer](http://nysci.org/nysci_people/catherine-cramer/), 
@ -958,21 +972,21 @@ Alden S. Klovdahl,
 [James Fairbanks](http://www.jpfairbanks.net/), 
 [Danielle Varda](http://www.ucdenver.edu/academics/colleges/SPA/FacultyStaff/Faculty/Pages/DanielleVarda.aspx), 
 [Andrew Pitts](https://twitter.com/andpitts), 
-[Roman Bartusiak](http://riomus.ml/), 
-[Koustuv Sinha](http://koustuvsinha.github.io/), 
+[Roman Bartusiak](https://github.com/riomus), 
+[Koustuv Sinha](https://koustuvsinha.com/), 
 [Mohsen Mosleh](http://mohsenmosleh.com/), 
 [Sandro Sousa](https://github.com/sandrofsousa), 
 [Jean-Baptiste Pressac](https://github.com/JBPressac), 
 [Patrick Connolly](https://github.com/patcon), 
-[Hristo Georgiev](http://hristog.github.io/), 
+[Hristo Georgiev](https://hristog.github.io/), 
 [Tiago Azevedo](http://github.com/tjiagoM), 
 [Luis Miguel Montilla](https://twitter.com/luismmontilla), 
 [Keith Turner](https://github.com/keith-turner), 
 [Sandra Becker](https://github.com/sandravizmad), 
 [Benedek Rozemberczki](https://github.com/benedekrozemberczki), 
 [Xing Han Lu](https://xinghanlu.com/), 
-[Vincent Labatut](https://cv.archives-ouvertes.fr/vlabatut), 
-[David Schoch](http://mr.schochastics.net/), 
+[Vincent Labatut](https://cv.hal.science/vlabatut), 
+[David Schoch](https://www.mr.schochastics.net/), 
 [Jaewon Chung](https://github.com/j1c), 
 [Benedek Rozemberczki](https://github.com/benedekrozemberczki), 
 [Alex Loftus](https://github.com/loftusa), 
@ -986,16 +1000,18 @@ Alden S. Klovdahl,
 have waived all copyright and related or neighboring rights to this work.

 Thanks to [Robert J. Ackland](https://github.com/rjackland), 
-[Laurent Beauguitte](https://cv.archives-ouvertes.fr/laurent-beauguitte), 
+[Laurent Beauguitte](https://cv.hal.science/laurent-beauguitte), 
 [Patrick Connolly](http://nodescription.net/), 
-[Michael Dorman](http://geobgu.xyz/), 
+[Michael Dorman](https://geobgu.xyz/), 
 [Colin Fay](https://colinfay.me/), 
-[Marc Flandreau](http://www.history.upenn.edu/people/faculty/marc-flandreau), 
-[Eiko Fried](http://eiko-fried.com/), 
-[Christopher Steven Marcum](http://www.chrismarcum.com/), 
+[Marc Flandreau](https://www.history.upenn.edu/people/faculty/marc-flandreau), 
+[Eiko Fried](https://eiko-fried.com/), 
+[Christopher Steven Marcum](https://cmarcum.github.io/), 
 [Wouter de Nooy](https://www.uva.nl/profiel/n/o/w.denooy/w.denooy.html), 
-[Katya Ognyanova](http://kateto.net/), 
-[Camille Roth](http://camille.roth.free.fr/), 
-[Cosma Shalizi](http://www.stat.cmu.edu/~cshalizi/), 
+[Katya Ognyanova](https://kateto.net/), 
+[Rahul Padhy](https://github.com/rahul-38-26-0111-0003), 
+[Camille Roth](https://camilleroth.github.io/), 
+[Claude S. Fischer](https://sociology.berkeley.edu/faculty/claude-s-fischer), 
+[Cosma Shalizi](https://www.stat.cmu.edu/~cshalizi/), 
 [Tom A.B. Snijders](https://www.stats.ox.ac.uk/~snijders/), 
 [Chris Watson](https://profiles.bu.edu/Christopher.Watson) and [Tim A. Wheeler](https://github.com/tawheeler), who helped locating some of the awesome resources featured in this list.
--- a/check.log
+++ b/check.log
@ -1,120 +1,306 @@
-2019-06-14 14:58:58 : checking 39 URLs
+2023-04-27 00:28:14 : checking 101 URLs

-http://davidmasad.com/blog/ergms-from-scratch/  
+http://altermundus.com/pages/tkz/index.html 
 Failed to access

-http://environmentalpolicy.ucdavis.edu/node/292  
-Status code: 400 
-
-http://gregory.org/research/networks/software/conga.html  
-Status code: 400 
-
-http://nealcaren.web.unc.edu/a-sociology-citation-network/  
+http://biorxiv.org/content/early/2015/02/24/002634 
 Status code: 404 

-http://networkslab.org/metaknowledge/  
+http://blog.netsciwestpoint.org/ 
+Failed to access
+
+http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/ 
+Status code: 410 
+
+http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/sminaire-rseaux-et-rgulation/ 
+Status code: 410 
+
+http://bokeh.pydata.org/en/latest/docs/gallery/les_mis.html 
 Status code: 404 

-http://netzwerkerei.org/  
-Status code: 400 
-
-http://nexus.igraph.org/  
+http://curleylab.psych.columbia.edu/netviz/ 
 Failed to access

-http://nos.alwaysdata.net/  
-Status code: 503 
+http://egoweb.wikispaces.com/EgoWeb+2.0+Home 
+Failed to access

-http://nysci.org/nysci_people/catherine-cramer/  
+http://eiko-fried.com/network-workshop/ 
 Status code: 404 

-http://palladio.designhumanities.org/  
-Failed to access
+http://environmentalpolicy.ucdavis.edu/node/292 
+Status code: 404 

-http://patrickdoreian.com/NEW/wp-content/papers_resources/chapters/Positional_Analysis_and_Blockmodeling.pdf  
-Status code: 400 
-
-http://patrickdoreian.com/NEW/wp-content/papers_resources/new_papers_4-13/Networks_in_Socia_Psychology_Lewin.docx  
-Status code: 400 
-
-http://patrickdoreian.com/NEW/wp-content/papers_resources/new_papers_4-13/positions_and_roles.pdf  
-Status code: 400 
-
-http://web.stanford.edu/group/sonia/  
-Status code: 400 
-
-http://www-personal.umich.edu/~mejn/networks-an-introduction/  
-Status code: 400 
-
-http://www.bayesfusion.com/smile-engine  
-Status code: 400 
-
-http://www.christoph-stadtfeld.com/netsim/  
-Failed to access
-
-http://www.cs.sandia.gov/~smartin/software.html  
-Status code: 400 
-
-http://www.derekruths.com/  
+http://epubs.siam.org/doi/abs/10.1137/S003614450342480 
 Status code: 403 

-http://www.dtic.mil/dtic/tr/fulltext/u2/705364.pdf  
+http://geobgu.xyz/ 
+Failed to access
+
+http://home.uchicago.edu/~khanna7 
+Status code: 404 
+
+http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?reload=true&punumber=6488902 
+Status code: 418 
+
+http://jhfowler.ucsd.edu/cosponsorship.htm 
+Failed to access
+
+http://moreno.ss.uci.edu/ 
+Failed to access
+
+http://moreno.ss.uci.edu/87.pdf 
+Failed to access
+
+http://moreno.ss.uci.edu/90.pdf 
+Failed to access
+
+http://moreno.ss.uci.edu/91.pdf 
+Failed to access
+
+http://moreno.ss.uci.edu/93.pdf 
+Failed to access
+
+http://moreno.ss.uci.edu/data.html 
+Failed to access
+
+http://moreno.ss.uci.edu/pubs.html 
+Failed to access
+
+http://moviegalaxies.com/ 
+Status code: 500 
+
+http://nealcaren.web.unc.edu/a-sociology-citation-network/ 
+Status code: 404 
+
+http://networkdynamics.org/ 
+Failed to access
+
+http://networkscience.igert.ucsb.edu/ 
+Failed to access
+
+http://networkslab.org/metaknowledge/ 
+Status code: 404 
+
+http://netzwerkerei.org/ 
 Status code: 403 

-http://www.gmw.rug.nl/~huisman/sna/software.html  
+http://nexus.igraph.org/ 
 Failed to access

-http://www.gmw.rug.nl/~stocnet/StOCNET.htm  
+http://nodexl.codeplex.com/ 
 Failed to access

-http://www.insna.org/archives.html  
-Status code: 404 
-
-http://www.insna.org/connections.html  
-Status code: 404 
-
-http://www.netzwerk-exzellenz.uni-trier.de/  
+http://nos.alwaysdata.net/ 
 Failed to access

-http://www.studienverlag.at/data.cfm?vpath=openaccess/oezg-12012-lemercier&download=yes  
+http://nysci.org/nysci_people/catherine-cramer/ 
 Status code: 404 

-http://www.swansea.ac.uk/medicine/enterpriseandinnovation/networkscienceresearchcentre/  
-Status code: 400 
-
-https://410f84824e101297359cc81c78f45c7c079eb26c.googledrive.com/host/0Bz6WHrWac3FrWnA5MjZqb3lWa2c/  
-Status code: 404 
-
-https://academic.oup.com/comnet  
+http://palladio.designhumanities.org/ 
 Failed to access

-https://academic.oup.com/comnet/article-abstract/4/3/457/1745356  
-Failed to access
-
-https://cs.brown.edu/~rt/gdhandbook/  
+http://patrickdoreian.com/NEW/wp-content/papers_resources/chapters/Positional_Analysis_and_Blockmodeling.pdf 
 Status code: 404 

-https://dgrtwo.shinyapps.io/love-actually-network/  
-Status code: 202 
-
-https://github.com/voson-labSocialMediaLab  
+http://patrickdoreian.com/NEW/wp-content/papers_resources/new_papers_4-13/Networks_in_Socia_Psychology_Lewin.docx 
 Status code: 404 

-https://lynksoft.com/  
+http://patrickdoreian.com/NEW/wp-content/papers_resources/new_papers_4-13/positions_and_roles.pdf 
+Status code: 404 
+
+http://people.bu.edu/jccs/spectralGOF.html 
+Status code: 404 
+
+http://revistes.uab.cat/redes/article/view/v21-during-bixier-kronenwett-stark 
+Status code: 404 
+
+http://riomus.ml/ 
 Failed to access

-https://www.cairn.info/revue-d-histoire-moderne-et-contemporaine-2005-2-page-88.htm  
+http://science.sciencemag.org/content/323/5916/892 
 Status code: 403 

-https://www.cairn.info/revue-reseaux1-2002-5-page-183.htm  
+http://science.sciencemag.org/content/325/5939/414 
 Status code: 403 

-https://www.cairn.info/revue-reseaux1-2008-6-page-21.htm  
+http://scottbot.net/tag/networks-demystified/ 
+Status code: 404 
+
+http://sna.stanford.edu/ 
 Status code: 403 

-https://www.jstor.org/stable/29737693  
+http://socio.ens-lyon.fr/merckle/merckle_communications_2008_cargese_reseaux_nuls_biblio.pdf 
 Status code: 403 

-https://www.linkedin.com/in/mcculloh  
+http://unison.sleonard.co.uk/ 
+Failed to access
+
+http://vanity.dss.ucdavis.edu/~maoz/networks/Spring%202011/pol279-11.htm 
+Status code: 403 
+
+http://web.stanford.edu/group/sonia/ 
+Status code: 404 
+
+http://www.asanet.org/asa-communities/sections/mathematical-sociology 
+Status code: 404 
+
+http://www.bayesfusion.com/smile-engine 
+Status code: 404 
+
+http://www.christoph-stadtfeld.com/netsim/ 
+Failed to access
+
+http://www.crcpress.com/product/isbn/9781482225587 
+Status code: 404 
+
+http://www.cs.sandia.gov/~smartin/software.html 
+Failed to access
+
+http://www.dtic.mil/dtic/tr/fulltext/u2/705364.pdf 
+Failed to access
+
+http://www.gmw.rug.nl/~huisman/sna/software.html 
+Failed to access
+
+http://www.gmw.rug.nl/~stocnet/StOCNET.htm 
+Failed to access
+
+http://www.gre.ac.uk/business/research/centres/cbna/home 
+Status code: 404 
+
+http://www.jeromecukier.net/projects/agot/events.html 
+Status code: 404 
+
+http://www.jeromecukier.net/projects/agot/places.html 
+Status code: 404 
+
+http://www.jeromecukier.net/projects/metro/map.html 
+Status code: 404 
+
+http://www.kulturverlag-kadmos.de/buch/die-verbundenheit-der-dinge.html 
+Status code: 404 
+
+http://www.maths.strath.ac.uk/research/groups/numerical_analysis/contest 
+Failed to access
+
+http://www.quanti.ihmc.ens.fr/Analyse-de-reseaux-bibliographie.html 
+Status code: 404 
+
+http://www.rensecorten.org/index.php/category/sna-with-stata/ 
+Status code: 500 
+
+http://www.skylercranmer.net/niss-lab/ 
+Status code: 404 
+
+http://www.studienverlag.at/data.cfm?vpath=openaccess/oezg-12012-lemercier&download=yes 
+Status code: 404 
+
+http://www.swansea.ac.uk/medicine/enterpriseandinnovation/networkscienceresearchcentre/ 
+Status code: 404 
+
+https://410f84824e101297359cc81c78f45c7c079eb26c.googledrive.com/host/0Bz6WHrWac3FrWnA5MjZqb3lWa2c/ 
+Status code: 404 
+
+https://academic.oup.com/comnet 
+Status code: 403 
+
+https://academic.oup.com/comnet/article-abstract/4/3/457/1745356 
+Status code: 403 
+
+https://cs.brown.edu/~rt/gdhandbook/ 
+Status code: 404 
+
+https://docs.google.com/spreadsheets/d/1CoFGtrW85D9FsVcAE5-bcXVl6QOTncwXjFBYp4u2WgE/edit?usp=sharing 
+Status code: 410 
+
+https://docs.google.com/spreadsheets/d/1vJILk2EW1JnR3YAwTSSqAV5mPkeXaezy45wOoafBpfU/edit#gid=0 
+Status code: 410 
+
+https://gephi.org/gexf/format/ 
+Status code: 404 
+
+https://github.com/arunppsg 
+Status code: 404 
+
+https://github.com/sandravizmad 
+Status code: 404 
+
+https://github.com/voson-labSocialMediaLab 
+Status code: 404 
+
+https://gregory.org/research/networks/software/conga.html 
+Status code: 406 
+
+https://linkage.fr/ 
+Failed to access
+
+https://lra.le.ac.uk/bitstream/2381/36068/2/Draft%20BJM%20Revised%20(3rd%20iteration)%20Manuscript.pdf 
+Failed to access
+
+https://sociology.stanford.edu/sites/default/files/publications/the_strength_of_weak_ties_and_exch_w-gans.pdf 
+Status code: 404 
+
+https://statnet.org/trac 
+Status code: 404 
+
+https://statnet.org/trac/raw-attachment/wiki/Resources/glossary.pdf 
+Status code: 404 
+
+https://statnet.org/trac/raw-attachment/wiki/Sunbelt2013/Valued.pdf 
+Status code: 404 
+
+https://statnet.org/trac/raw-attachment/wiki/Sunbelt2015/ergm_tutorial.html 
+Status code: 404 
+
+https://www.barabasilab.com/course 
+Status code: 404 
+
+https://www.cairn.info/revue-reseaux1-2002-5-page-183.htm 
+Status code: 403 
+
+https://www.cairn.info/revue-reseaux1-2008-6-page-21.htm 
+Status code: 403 
+
+https://www.cornell.edu/video/cornellx-networks-crowds-and-markets 
+Status code: 404 
+
+https://www.fas.harvard.edu/~histecon/visualizing/angouleme/index.html 
+Failed to access
+
+https://www.fas.harvard.edu/~histecon/visualizing/graphing/economists.html 
+Failed to access
+
+https://www.fas.harvard.edu/~histecon/visualizing/graphing/innerlife.html 
+Failed to access
+
+https://www.fas.harvard.edu/~histecon/visualizing/index.html 
+Failed to access
+
+https://www.journals.elsevier.com/online-social-networks-and-media/ 
+Status code: 403 
+
+https://www.jstor.org/stable/29737693 
+Status code: 403 
+
+https://www.linkedin.com/in/mcculloh 
 Status code: 999 

-2019-06-14 14:59:43 : done.
+https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831261/ 
+Status code: 403 
+
+https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328971/ 
+Status code: 403 
+
+https://www.researchgate.net/publication/300723171_Netzwerkanalyse_in_den_Geschichtswissenschaften_Historische_Netzwerkanalyse_als_Methode_fur_die_Erforschung_von_historischen_Prozessen 
+Status code: 403 
+
+https://www.researchgate.net/publication/308874807_Dynamical_networks_in_psychology_More_than_a_pretty_picture 
+Status code: 403 
+
+https://www.rstudio.com/resources/videos/tidying-up-your-network-analysis-with-tidygraph-and-ggraph/ 
+Status code: 404 
+
+https://www.sciencedirect.com/journal/social-networks/vol/27/issue/2 
+Status code: 403 
+
+2023-04-27 00:31:03 : done.
--- a/check.r
+++ b/check.r
@ -13,92 +13,99 @@ library(stringr)
 f <- "check.log"

 if (!file.exists(f)) {
-  
+
  u <- str_c(
    "https://raw.githubusercontent.com/",
    "briatte/awesome-network-analysis/",
    "master/README.md"
  )
-  
+
  cat("Source:", u, "\n")
-  
+
  u <- GET(u) %>%
    content("text") %>%
    str_split("\\n") %>% # so as to find [foo]: bar links
-    unlist
-  
+    unlist()
+
+  # remove links that have been commented out
+  u <- str_remove_all(u, "<!--.*?-->")
+
  # total number of links (made to match web.archive.org links only once)
  t <- sum(str_count(u, "(?<!/)http"))
-  
+
  cat(t, "URLs, ")
-  
+
  l <- c(
    # [foo](bar)
    str_extract_all(u, "\\(http(.*?)\\)") %>%
      lapply(str_replace_all, "^\\(|\\)$", "") %>%
-      unlist,
+      unlist(),
    # [foo]: bar
-    str_extract_all(u, "^\\[(.*)\\]: (.*)") %>% 
-      unlist %>%
+    str_extract_all(u, "^\\[(.*)\\]: (.*)") %>%
+      unlist() %>%
      str_replace("^\\[(.*)\\]: (.*)", "\\2")
  )
-  
+
  stopifnot(length(l) == t)
-  
+
 } else {
-  
+
  cat("Source:", f, "\n")
-  
+
  l <- str_subset(stringi::stri_read_lines(f), "^http")
-  
+
  cat(length(l), "URLs, ")
-  
+
 }

-l <- sort(unique(l))
+l <- str_squish(sort(unique(l)))

 cat(length(l), "unique\n")

+cat("Ignoring", sum(str_detect(l, "^https://doi.org/")), "DOIs\n")
+l <- str_subset(l, "^https://doi.org/", negate = TRUE)
+
 sink(f, append = FALSE)
 cat(as.character(Sys.time()), ": checking", length(l), "URLs\n\n")
 sink()

 for (i in l) {
-  
+
  x <- try(status_code(GET(i)), silent = TRUE)
-  
+
  if (!"try-error" %in% class(x) && x != 200) {
-    
+
    cat("X")
-    
+
    sink(f, append = TRUE)
    cat(i, "\nStatus code:", x, "\n\n")
    sink()
-    
+
  } else if ("try-error" %in% class(x)) {
-    
+
    cat("?")
-    
+
    sink(f, append = TRUE)
    cat(i, "\nFailed to access\n\n")
    sink()
-    
+
  } else {
-    
+
    cat(".")
-    
+
  }
-  
+
  if (!which(l == i) %% 50) {
-    
+
    cat("", length(l) - which(l == i), "left\n")
-    
+
  }
-  
+
 }

 sink(f, append = TRUE)
-cat(as.character(Sys.time()), ": done.\n")
+f <- sum(str_count(stringi::stri_read_lines(f), "^http"))
+cat(as.character(Sys.time()), ": done,", f, "errors.\n")
 sink()

-cat("\n", sum(str_count(stringi::stri_read_lines(f), "^http")), "problems\n")
+cat("\n", f, "errors\n")
Author	SHA1	Message	Date
François Briatte	354bbbf46f	more URL fixes	2023-04-27 02:43:20 +02:00
François Briatte	65514acfb6	do not check <!-- commented out--> URLs	2023-04-27 02:42:55 +02:00
François Briatte	8eddfd49cd	a few more link fixes	2023-04-27 00:51:37 +02:00
François Briatte	cdf7d7fde9	broken links, April 2023	2023-04-27 00:38:21 +02:00
François Briatte	5192488c61	links and stylistic fluff	2023-04-27 00:16:50 +02:00
François Briatte	4f510287c3	URLs	2023-04-27 00:05:07 +02:00
François Briatte	cfd8deddda	Update check.r	2023-04-27 00:04:41 +02:00
François Briatte	dc5d1af045	check.r -- ignore DOIs, assume they just work	2023-04-27 00:04:30 +02:00
François Briatte	0db097c7a6	check.r -- clean up links	2023-04-27 00:04:13 +02:00
François Briatte	34574ba51b	more URL fixes	2023-04-26 23:50:23 +02:00
François Briatte	14c194d84c	fixing links, turning many to DOI links	2023-04-26 23:39:01 +02:00
François Briatte	9ba99247b4	close #40	2023-04-26 22:05:23 +02:00
François Briatte	5ea0e9c92e	close #91	2023-04-26 21:46:31 +02:00
François Briatte	abbc7ddf1f	close #92	2023-04-26 21:40:30 +02:00
François Briatte	a38a46e52d	close #84	2023-04-26 21:39:05 +02:00
François Briatte	6d3353c8d3	close #76 (new updated link to app)	2023-04-26 21:37:24 +02:00
François Briatte	461b04bf8c	close #66	2023-04-26 21:31:55 +02:00
François Briatte	6b9944e44e	close #65	2023-04-26 21:30:23 +02:00
François Briatte	3c3a88d330	close #63	2023-04-26 21:28:30 +02:00
François Briatte	a903a0c1bd	close #61	2023-04-26 21:24:04 +02:00
François Briatte	2f69f9104b	close #56	2023-04-26 21:20:36 +02:00
François Briatte	4f09e3a97f	close #45	2023-04-26 21:18:15 +02:00
François Briatte	1830731fd9	not forthcoming anymore, adding published links	2023-04-26 21:17:30 +02:00
François Briatte	8677c3cd12	date the list	2023-04-26 21:16:54 +02:00