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@ -59,7 +59,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Classics

-1.  _[A Novitiate in a Period of Change: An Experimental and Case Study of Social Relationships](https://www.dropbox.com/s/cwhmfp4qjl09y2k/Sampson%2C%20Samuel%201968.pdf?dl=0)_, by Samuel F. Sampson (unpublished PhD dissertation, 1968).
+-   _[A Novitiate in a Period of Change: An Experimental and Case Study of Social Relationships](https://www.dropbox.com/s/cwhmfp4qjl09y2k/Sampson%2C%20Samuel%201968.pdf?dl=0)_, by Samuel F. Sampson (unpublished PhD dissertation, 1968).
 -   _[Social Network Analysis](https://uk.sagepub.com/en-gb/eur/social-network-analysis/book249668)_, by John Scott (2017).
 -   _[Social Network Analysis. Methods and Applications](http://www.cambridge.org/ar/academic/subjects/sociology/sociology-general-interest/social-network-analysis-methods-and-applications)_, by Stanley Wasserman and Katherine Faust (1994).
 -   _[The Structure and Dynamics of Networks](http://press.princeton.edu/titles/8114.html)_, edited by Mark E.J. Newman, Albert-László Barabási and Duncan J. Watts - 600 pages of classic network analysis articles (2006).
@ -68,7 +68,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Accessible introductions aimed at non-technical audiences.

-1.  _[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).
+-   _[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](https://www3.nd.edu/~networks/Linked/index.html)_, by Albert-László Barabási - [Selected chapters online](http://barabasi.com/book/linked#linked) (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](http://comnet.oxfordjournals.org/content/4/3/457.short)).
 -   _[Nexus. Small Worlds and the Groundbreaking Theory of Networks](http://books.wwnorton.com/books/Nexus/)_, by Mark Buchanan (2003).
@ -76,7 +76,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### General Overviews

-1.  _[Encyclopedia of Social Networks](http://sk.sagepub.com/reference/socialnetworks)_, edited by George A. Barnett - Covers all sorts of network-related themes (many of them not formal) as well as social network analysis (2011).
+-   _[Encyclopedia of Social Networks](http://sk.sagepub.com/reference/socialnetworks)_, edited by George A. Barnett - Covers all sorts of network-related themes (many of them not formal) as well as social network analysis (2011).
 -   _[Encyclopedia of Social Network Analysis and Mining](https://www.springer.com/us/book/9781461461692)_, edited by Reda Alhajj and Jon Rokne (2014).
 -   _[Network Science](http://barabasilab.neu.edu/networksciencebook/downlPDF.html)_, by Albert-László Barabási - Full book online (2016).
 -   _[Network Science](http://www.nap.edu/catalog/11516/network-science)_, by the U.S. National Research Council - Full book online (2005).
@ -94,7 +94,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Graph Theory

-1.  _[Combinatorics and Graph Theory](https://www.springer.com/us/book/9780387797106)_, by John Harris, Jeffry L. Hirst and Michael Mossinghoff (2008).
+-   _[Combinatorics and Graph Theory](https://www.springer.com/us/book/9780387797106)_, by John Harris, Jeffry L. Hirst and Michael Mossinghoff (2008).
 -   _[The Fascinating World of Graph Theory](http://press.princeton.edu/titles/10314.html)_, by Arthur Benjamin, Gary Chartrand and Ping Zhang (2015).
 -   _[Graph Theory](https://www.springer.com/us/book/9781846289699)_, by John A. Bondy and Uppaluri S.R. Murty (2008).
 -   _[Graph Theory](http://diestel-graph-theory.com/)_, by Reinhard Diestel - Full book online, also in Chinese and German (2016).
@ -105,7 +105,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Method-specific

-1.  _[Bayesian Networks in R with Applications in Systems Biology](https://www.springer.com/fr/book/9781461464457)_, by Radhakrishnan Nagarajan, Marco Scutari and Sophie Lèbre ([website](http://www.bnlearn.com/book-useR/); 2013).
+-   _[Bayesian Networks in R with Applications in Systems Biology](https://www.springer.com/fr/book/9781461464457)_, by Radhakrishnan Nagarajan, Marco Scutari and Sophie Lèbre ([website](http://www.bnlearn.com/book-useR/); 2013).
 -   _[Bayesian Networks with Examples in R](http://www.crcpress.com/product/isbn/9781482225587)_, by Marco Scutari and Jean-Baptiste Denis ([website](http://www.bnlearn.com/book-crc/); 2014).
 -   _[The Book of Trees. Visualizing Branches of Knowledge](http://www.papress.com/html/book.details.page.tpl?isbn=9781616892180)_, by Manuel Lima - Hundreds of beautiful tree diagrams, from all periods of history (2014).
 -   _[Exponential Random Graph Models for Social Networks](http://www.cambridge.org/9780521193566)_, edited by Dean Lusher, Johan Koskinen and Garry Robins (2013).
@ -127,7 +127,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Software-specific

-1.  _[Algorithmic Graph Theory and Sage](https://code.google.com/archive/p/graphbook/)_, by David Joyner, Minh Van Nguyen, and David Phillips - Full book online (2013).
+-   _[Algorithmic Graph Theory and Sage](https://code.google.com/archive/p/graphbook/)_, by David Joyner, Minh Van Nguyen, and David Phillips - Full book online (2013).
 -   _[Analyzing Social Networks](https://sites.google.com/site/analyzingsocialnetworks/)_ (using UCINET), by Stephen P. Borgatti, Martin G. Everett and Jeffrey C. Johnson (2013).
 -   _[A User's Guide to Network Analysis in R](https://www.springer.com/us/book/9783319238821)_, by Douglas A. Luke (2015).
 -   _[Data Science and Complex Networks: Real Case Studies with Python](https://global.oup.com/academic/product/data-science-and-complex-networks-9780199639601)_, by Guido Caldarelli and Alessandro Chessa (2016).
@ -144,7 +144,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Topic-specific

-1.  _[Communities and Networks: Using Social Network Analysis to Rethink Urban and Community Studies](http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0745654207.html)_, by Katherine Giuffre (2013).
+-   _[Communities and Networks: Using Social Network Analysis to Rethink Urban and Community Studies](http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0745654207.html)_, by Katherine Giuffre (2013).
 -   _[Comparing Policy Networks. Labor Politics in the U.S., Germany, and Japan](http://www.cambridge.org/ar/academic/subjects/politics-international-relations/comparative-politics/comparing-policy-networks-labor-politics-us-germany-and-japan)_, by David Knoke _et al._ (1996).
 -   _[The Connected Past. Challenges to Network Studies in Archaeology and History](https://global.oup.com/academic/product/the-connected-past-9780198748519)_ edited by Tom Brughmans, Anna Collar and Fiona Coward (2016; [companion website](http://connectedpast.net/)).
 -   _[The Development of Social Network Analysis: A Study in the Sociology of Science](http://moreno.ss.uci.edu/)_, by Linton C. Freeman, in English and several other languages (2004; [follow-up paper, 2011](http://moreno.ss.uci.edu/91.pdf)).
@ -167,7 +167,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Recurring conferences on network analysis.

-1.  [ASONAM - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining](http://asonam.cpsc.ucalgary.ca/).
+-   [ASONAM - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining](http://asonam.cpsc.ucalgary.ca/).
  -   [SNAA - Workshop on Social Network Analysis in Applications](http://snaa.pwr.edu.pl/).
 -   [CNDay - Cambridge Networks Day](http://www.cnn.group.cam.ac.uk/cambridge-networks-day) - Convened by the Cambridge Networks Network.
 -   [CompleNet - International Workshop on Complex Networks](http://complenet.org/).
@ -180,7 +180,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ## Courses

-1.  [Complex Networks](https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/), by Peter Sheridan Dodds (University of Vermont, 2016; Twitter: [@networksvox](https://twitter.com/networksvox)).
+-   [Complex Networks](https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/), by Peter Sheridan Dodds (University of Vermont, 2016; Twitter: [@networksvox](https://twitter.com/networksvox)).
  -   [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).
@ -200,7 +200,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ## Datasets

-1.  [Barabási and Albert Network Datasets](https://www3.nd.edu/~networks/resources.htm).
+-   [Barabási and Albert Network Datasets](https://www3.nd.edu/~networks/resources.htm).
 -   [Bayesian Network Repository](http://www.bnlearn.com/bnrepository/).
 -   [Bill Cosponsorship Networks in European Parliaments](https://github.com/briatte/parlnet) - Legislative cosponsorship networks, in R format.
 -   [Colorado Index of Complex Networks (ICON)](https://icon.colorado.edu/) - Large collection of networks described and indexed by Aaron Clauset's research group.
@ -233,7 +233,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Journals that are not fully open-access are marked as “gated”. Please also note that some of the publishers listed below are [deeply hurting](https://twitter.com/costofknowledge) scientific publishing.

-1.  _[Applied Network Science](http://appliednetsci.springeropen.com/)_ (Springer Open).
+-   _[Applied Network Science](http://appliednetsci.springeropen.com/)_ (Springer Open).
 -   _[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).
@ -250,7 +250,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ## Professional Groups

-1.  [AFS RT 26 “Réseaux sociaux”](http://www.cmh.pro.ens.fr/reseaux-sociaux/) - Thematic Network of the French Sociological Association (AFS), in French.
+-   [AFS RT 26 “Réseaux sociaux”](http://www.cmh.pro.ens.fr/reseaux-sociaux/) - Thematic Network of the French Sociological Association (AFS), in French.
 -   [APSA Political Networks](http://www.polinetworks.org/) - Organized Section of the American Political Science Association (APSA).
 -   [ECPR Political Networks SG](https://politicalnetsecpr.wordpress.com/) - Standing Group of the European Consortium for Political Research ([Twitter account](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.
@ -263,7 +263,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Network-focused research centers, (reading) groups, institutes, labs – you name it – based in the USA.

-1.  [Annenberg Networks Network (ANN)](http://uscann.tumblr.com/) - Research group studying social networks at the University of Southern California.
+-   [Annenberg Networks Network (ANN)](http://uscann.tumblr.com/) - Research group studying social networks at the University of Southern California.
 -   [Center for Applied Network Analysis (CANA)](https://usccana.github.io/) - Research group based at the University of Southern California School of Medicine.
 -   [Channing Division of Network Medicine](http://www.brighamandwomens.org/research/depts/medicine/channing/default.aspx) - Research division within the Department of Medicine at Brigham and Women’s Hospital.
 -   [Complex Human Networks Reading Group (CoHN)](http://alumni.media.mit.edu/~tanzeem/cohn/CoHN.htm) - Reading list from a seminar held at MIT in 2001–2.
@ -291,7 +291,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Network-focused research centers, (reading) groups, institutes, labs – you name it – based outside of the USA.

-1.  [Cambridge Networks Network (CNN)](http://www.cnn.group.cam.ac.uk/) - Research network on complex networks.
+-   [Cambridge Networks Network (CNN)](http://www.cnn.group.cam.ac.uk/) - Research network on complex networks.
 -   [Centre for Business Network Analysis, University of Greenwich](http://www.gre.ac.uk/business/research/centres/cbna/home) - Focused on economic/organisational network analysis.
 -   [Center for Network Science, Central European University, Budapest](http://cns.ceu.edu/) - Features a PhD in Network Science program.
 -   [Complex Networks](http://www.complexnetworks.fr/) - Research group based in Paris.
@ -330,7 +330,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > 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/).

-1.  [Analyse de réseaux et histoire](http://www.cairn.info/resume.php?ID_ARTICLE=RHMC_522_0088), in French (_Revue d'histoire moderne et contemporaine_, 2005).
+-   [Analyse de réseaux et histoire](http://www.cairn.info/resume.php?ID_ARTICLE=RHMC_522_0088), in French (_Revue d'histoire moderne et contemporaine_, 2005).
 -   [Analyser les réseaux du passé en archéologie et en histoire](http://nda.revues.org/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).
 -   [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).
@ -345,7 +345,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Bibliographic, Citation and Semantic Networks

-1.  [Assessing Impact and Quality from Local Dynamics of Citation Networks](http://www.sciencedirect.com/science/article/pii/S1751157711000770) (_Journal of Informetrics_, 2012).
+-   [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).
 -   [Extracting Citation Networks from Publications in Classics](https://zenodo.org/record/46328) (_Digital Humanities Quarterly_, forthcoming).
@ -356,7 +356,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Biological, Ecological and Disease Networks

-1.  [Biological Networks](http://algo.uni-konstanz.de/publications/bbs-bn-13.pdf) (_Handbook of Graph Drawing and Visualization_, 2013).
+-   [Biological Networks](http://algo.uni-konstanz.de/publications/bbs-bn-13.pdf) (_Handbook of Graph Drawing and Visualization_, 2013).
 -   [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).
@ -366,14 +366,14 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Complex Networks

-1.  [The Architecture of Complexity](http://barabasi.com/f/226.pdf) - From network theory to complexity theory (_IEEE Control Systems Magazine_, 2007).
+-   [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).
 -   [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).

 ### Ethics of Network Analysis

-1.  [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).
+-   [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).
 -   [Ethical and Strategic Issues in Organizational Social Network Analysis](http://www.analytictech.com/borgatti/papers/ethics.pdf) (_The Journal of Applied Behavioral Science_, 2003).

@ -381,7 +381,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Network Modeling

-1.  [A Brief History of Statistical Models for Network Analysis and Open Challenges][fienberg2012] (_Journal of Computational and Graphical Statistics_, 2012).
+-   [A Brief History of Statistical Models for Network Analysis and Open Challenges][fienberg2012] (_Journal of Computational and Graphical Statistics_, 2012).
 -   [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).
 -   [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).
@ -394,7 +394,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Network Visualization

-1.  [Explorations into the Visualization of Policy Networks](https://www.academia.edu/17565685/Explorations_into_the_Visualization_of_Policy_Networks) (_Journal of Theoretical Politics_, 1999).
+-   [Explorations into the Visualization of Policy Networks](https://www.academia.edu/17565685/Explorations_into_the_Visualization_of_Policy_Networks) (_Journal of Theoretical Politics_, 1999).
 -   [Graphical Techniques for Exploring Social Network Data](http://moreno.ss.uci.edu/87.pdf) (_Models and Methods in Social Network Analysis_, 2005).
 -   [Methods of Social Network Visualization](http://moreno.ss.uci.edu/90.pdf) (_Encyclopedia of Complexity and Systems Science_, 2009; [poster version](http://www.pfeffer.at/data/visposter/)).
 -   [Social Networks](http://moreno.ss.uci.edu/93.pdf) (_Handbook of Graph Drawing and Visualization_, 2013).
@ -403,7 +403,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > 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).

-1.  [A propos de la notion de rôle dans l'analyse des relations sociales](http://msh.revues.org/11969) (_Mathématiques et sciences humaines_, 2011).
+-   [A propos de la notion de rôle dans l'analyse des relations sociales](http://msh.revues.org/11969) (_Mathématiques et sciences humaines_, 2011).
 -   [Brokerage](http://www.annualreviews.org/doi/abs/10.1146/annurev-soc-081309-150054) (_Annual Review of Sociology_, 2012).
 -   [Dynamic Scientific Co-Authorship Networks](http://patrickdoreian.com/NEW/wp-content/papers_resources/2015/slovene_science/dynamic_scientific_coauthorship_networks.pdf) (_[Models of Science Dynamics](https://www.springer.com/us/book/9783642230677)_, 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).
@ -422,7 +422,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > A voluntarily short list of applied, epistemological and methodological articles, many of which have become classic readings in network analysis courses. Intended for highly motivated social science students with little to no prior exposure to network analysis.

-1.  [Aux sources des grands réseaux d’interactions. Retour sur quelques propriétés déterminantes des réseaux sociaux issus de corpus documentaires](http://www.cairn.info/revue-reseaux-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).
+-   [Aux sources des grands réseaux d’interactions. Retour sur quelques propriétés déterminantes des réseaux sociaux issus de corpus documentaires](http://www.cairn.info/revue-reseaux-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).
@ -449,7 +449,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
 > 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).

-1.  [ArcGIS Network Analyst](http://www.esri.com/software/arcgis/extensions/networkanalyst) - Network-based spatial analysis software for solving complex routing problems.
+-   [ArcGIS Network Analyst](http://www.esri.com/software/arcgis/extensions/networkanalyst) - Network-based spatial analysis software for solving complex routing problems.
 -   [CFinder](http://www.cfinder.org/) - Cross-platform Java program to identify clusters and communities through the Clique Percolation Method (CPM).
 -   [Circos](http://circos.ca/) - Cross-platform program to produce circular layouts of network data, written in Perl.
 -   [Cytoscape](http://www.cytoscape.org/) - Cross-platform Java program to build, analyze and visualize networks. Also a JavaScript library.
@ -516,7 +516,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
 > Network placement and community detection algorithms that do not fit in any of the next subsections.  
 > 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.

-1.  [algo.graph](https://github.com/clojure/algo.graph) - Basic graph theory algorithms written in Clojure.
+-   [algo.graph](https://github.com/clojure/algo.graph) - Basic graph theory algorithms written in Clojure.
 -   [CONGA and CONGO](http://www.cs.bris.ac.uk/~steve/networks/index.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](http://barabasilab.neu.edu/projects/linkcommunities/) - Community detection algorithms, available in C++, Python and R.
@ -529,7 +529,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > 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.

-1.  [Benchmark Graphs to Test Community Detection Algorithms](https://sites.google.com/site/santofortunato/inthepress2) - C++ code to generate weighted and unweighted graphs.
+-   [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.
@ -544,7 +544,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

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

-1.  [Cytoscape.js](http://js.cytoscape.org/) - Network analysis and visualization library.
+-   [Cytoscape.js](http://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.
@ -561,7 +561,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Julia

-1.  [BayesNets.jl](https://github.com/sisl/BayesNets.jl) - Package to work with Bayesian networks.
+-   [BayesNets.jl](https://github.com/sisl/BayesNets.jl) - Package to work with Bayesian networks.
  -   [Smile.jl](https://github.com/sisl/Smile.jl) - Julia wrapper for the [Smile C++ library](http://www.bayesfusion.com/smile-engine), which covers Bayesian networks and influence diagrams.
 -   [EcologicalNetwork.jl](https://github.com/PoisotLab/EcologicalNetwork.jl) - Package to compute measures of ecological network structures.
 -   [EvolvingGraphs](https://github.com/weijianzhang/EvolvingGraphs.jl) - Package to create, manipulate and study time-dependent networks.
@ -584,7 +584,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### MATLAB

-1.  [Brain Connectivity Toolbox](https://sites.google.com/site/bctnet/) - Toolbox for complex-network analysis of structural and functional brain-connectivity data, with links to many related projects.
+-   [Brain Connectivity Toolbox](https://sites.google.com/site/bctnet/) - Toolbox for complex-network analysis of structural and functional brain-connectivity data, with links to many related projects.
 -   [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.
@ -597,7 +597,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
 > See also [Social Network Analysis with Python](https://www.youtube.com/watch?v=qgGqaBAEy3Q), a 3-hour tutorial by Maksim Tsvetovat and Alex Kouznetsov given at PyCon US 2012 ([code](https://github.com/maksim2042/PyCon2012)).  
 > For more awesome Python packages, see the [Awesome Python](https://github.com/vinta/awesome-python) and [Awesome Python Books](https://github.com/Junnplus/awesome-python-books) lists.

-1.  [graph-tool](http://graph-tool.skewed.de/) - Python module for network manipulation and analysis, written mostly in C++ for speed.
+-   [graph-tool](http://graph-tool.skewed.de/) - Python module for network manipulation and analysis, written mostly in C++ for speed.
 -   [graphviz](https://pypi.python.org/pypi/graphviz) - Python renderer for the DOT graph drawing language.
 -   [linkpred](https://github.com/rafguns/linkpred) - Assess the likelihood of potential links in a future snapshot of a network.
 -   [metaknowledge](http://networkslab.org/metaknowledge/) - Python package to turn bibliometrics data into authorship and citation networks.
@ -615,7 +615,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
 > For more awesome R resources, see the [Awesome R](https://github.com/qinwf/awesome-R) and [Awesome R Books](https://github.com/RomanTsegelskyi/rbooks) lists. See also [this Google spreadsheet](https://docs.google.com/spreadsheets/d/1CoFGtrW85D9FsVcAE5-bcXVl6QOTncwXjFBYp4u2WgE/edit?usp=sharing) by Ian McCulloh and others.  
 > To convert many different network model results into tidy data frames, see the [broom](https://cran.r-project.org/web/packages/broom/) package. To convert many different network model results into LaTeX or HTML tables, see the [texreg](https://cran.r-project.org/web/packages/texreg/) package.

-1.  [amen](https://cran.r-project.org/web/packages/amen/) - Additive and multiplicative effects models for relational data.
+-   [amen](https://cran.r-project.org/web/packages/amen/) - Additive and multiplicative effects models for relational data.
 -   [Bergm](https://cran.r-project.org/web/packages/Bergm/) - Tools to analyse Bayesian exponential random graph models (BERGM).
 -   [bipartite](https://cran.r-project.org/web/packages/bipartite/) - Functions to visualize bipartite networks and compute indices commonly used in ecological research.
 -   [blockmodeling](https://cran.r-project.org/web/packages/blockmodeling/) - Implementats generalized blockmodeling for valued networks.
@ -676,14 +676,14 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 ### Stata

-1.  [nwcommands: Network Analysis Using Stata](https://nwcommands.wordpress.com/) ([discussion](http://www.statalist.org/forums/forum/general-stata-discussion/general/1290963-network-analysis-which-command-to-use), [tutorials and slides](https://nwcommands.wordpress.com/tutorials-and-slides/)).
+-   [nwcommands: Network Analysis Using Stata](https://nwcommands.wordpress.com/) ([discussion](http://www.statalist.org/forums/forum/general-stata-discussion/general/1290963-network-analysis-which-command-to-use), [tutorials and slides](https://nwcommands.wordpress.com/tutorials-and-slides/)).
 -   [SNA with Stata](http://www.rensecorten.org/index.php/category/sna-with-stata/) - Blog documenting the use of the netplot Stata package.

 ### Syntaxes

 > Generic graph syntaxes intended for use by several programs.

-1.  [DOT](http://www.graphviz.org/doc/info/lang.html) - Graph drawing syntax used by the Graphviz software.
+-   [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)).
@ -701,7 +701,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Tutorials that are not focused on a single specific software package or program.

-1.  [Basic and Advanced Network Visualization with Gephi and R](http://kateto.net/sunbelt2016) (2016).
+-   [Basic and Advanced Network Visualization with Gephi and R](http://kateto.net/sunbelt2016) (2016).
 -   [Interactive and Dynamic Network Visualization in R](http://curleylab.psych.columbia.edu/netviz/) and JavaScript libraries (2016).
 -   [Nodegoat and Palladio: Introductory Workshop](https://www.academia.edu/11450425/Nodegoat_and_Palladio_Introductory_Workshop_by_Emmanuelle_Chaze) - Aimed at humanists (2015).
 -   [Static and Dynamic Network Visualization with R](http://kateto.net/network-visualization) - Covers the igraph, network, networkD3 and ndtv packages (2015).
@ -710,7 +710,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Resources that do not fit in other categories.

-1.  [+100 herramientas para el análisis de redes sociales](http://www.k-government.com/2016/06/28/100-herramientas-analisis-redes-sna-ars/) - Long list of diverse applications of network analysis, with shorts descriptions in Spanish.
+-   [+100 herramientas para el análisis de redes sociales](http://www.k-government.com/2016/06/28/100-herramientas-analisis-redes-sna-ars/) - Long list of diverse applications of network analysis, with shorts descriptions in Spanish.
 -   [Centrality Measures as a Signature of Roles in Rousseau’s _Les Confessions_](http://yro.ch/centrality-measures-signature-roles-rousseaus-les-confessions/) - Analysis of a real-world character network.
 -   [Cheat Sheet: Social Network Analysis for Humanists](https://cvcedhlab.hypotheses.org/106) - Basic notions to remember when assembling and manipulating network data.
 -   [Computer Technologies for the Historical Research of Intellectual Networks](https://www.youtube.com/playlist?list=PLz79Il7EOvUJxdQ9r2IefFtr--BNkfOa7) - Series of videos by historians, featuring Marten Düring and Scott Weingart.
@ -750,7 +750,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Series of blog posts on network topics.  

-1.  [Archaeological Networks](http://archaeologicalnetworks.wordpress.com/) - Tom Brughmans’ blog, aimed at archaeologists and historians.
+-   [Archaeological Networks](http://archaeologicalnetworks.wordpress.com/) - Tom Brughmans’ blog, aimed at archaeologists and historians.
 -   [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).
@ -800,7 +800,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Explorations of fictional character networks.

-1.  [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).
+-   [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.
 -   [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).
@ -815,7 +815,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Discussions of what “netsci” is about and means for other scientific disciplines.

-1.  [Editing a Normal Science Journal in Social Science](http://bms.revues.org/595) - Reflections on the _Social Networks_ journal by its founding editor.
+-   [Editing a Normal Science Journal in Social Science](http://bms.revues.org/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).
@ -833,7 +833,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Links focused on (analogues to) [Stanley Milgram’s small-world experiment](https://en.wikipedia.org/wiki/Small-world_experiment).

-1. [The Erdös Number Project](http://wwwp.oakland.edu/enp/) - Research project on the collaborative ties and network distance between mathematicians.
+-   [The Erdös Number Project](http://wwwp.oakland.edu/enp/) - Research project on the collaborative ties and network distance between mathematicians.
 -   [How Small is the World, Really?](https://medium.com/@duncanjwatts/how-small-is-the-world-really-736fa21808ba#.kyr90lhyo) - Discussion of “_x_ degrees of separation” small-world experiments.
 -   [The Oracle of Bacon](https://oracleofbacon.org/) - Based on an [online game](https://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_Bacon) that resulted in a [charity](http://www.sixdegrees.org/).
 -   [Panel: Six Degrees of Separation](https://www.cornell.edu/video/six-degrees-of-separation-panel) - Video of a conference at Cornell University, featuring Duncan J. Watts, Steven H. Strogatz, Jon Kleinberg and other speakers.
@ -845,7 +845,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes

 > Also known as bipartite graphs.

-1.  [L'analyse des graphes bipartis](https://halshs.archives-ouvertes.fr/FMR/halshs-00794976), in French (2013).
+-   [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).
 -   [Fitting Large Signed Two-mode Blockmodels: Problems and Prospects](http://patrickdoreian.com/NEW/wp-content/papers_resources/new_papers_4-13/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)).