Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning), [Awesome Math](https://github.com/rossant/awesome-math) and others.
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Relationships](https://www.dropbox.com/s/cwhmfp4qjl09y2k/Sampson%2C%20Samuel%201968.pdf?dl=0)_, by Samuel F. Sampson (unpublished PhD dissertation, 1968).
-_[Social Network Analysis. A Handbook](https://uk.sagepub.com/en-gb/eur/social-network-analysis/book237401)_, by John Scott (1991, 3rd ed. 2013).
-_[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).
### Dissemination
> Accessible introductions aimed at non-technical audiences.
1._[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).
-_[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 (2010).
- _[Réseaux sociaux et structures relationnelles](https://www.puf.com/content/R%C3%A9seaux_sociaux_et_structures_relationnelles)_, by Emmanuel Lazega, in French (2014).
-_[Social Network Analysis with Applications](http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118169476.html)_, by Ian McCulloh, Helen Armstrong and Anthony Johnson (2013).
-_[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).
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 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).
-_[Exponential Random Graph Models for Social Networks](http://www.cambridge.org/9780521193566)_, edited by Dean Lusher, Johan Koskinen and Garry Robins (2013).
-_Inferential Network Analysis_, by Skyler J. Cranmer, Bruce A. Desmarais and Jason Morgan (forthcoming).
-_[Multilevel Network Analysis for the Social Sciences](https://www.springer.com/fr/book/9783319245188)_, edited by Emmanuel Lazega and Tom A.B. Snijders (2016).
-_[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).
1._[Analyzing Social Networks](https://sites.google.com/site/analyzingsocialnetworks/)_ (using UCINET), by Stephen P. Borgatti, Martin G. Everett and Jeffrey C. Johnson (2013).
-_[Social Network Analysis for Startups. Finding Connections on the Social Web](http://shop.oreilly.com/product/0636920020424.do)_ (using Python), by Maksim Tsvetovat and Alexander Kouznetsov ([code](https://github.com/maksim2042/SNABook); 2011).
-_[Statistical Analysis of Network Data with R](http://www.springer.com/us/book/9781493909827)_, by Eric D. Kolaczyk and Gabor Csárdi ([R package](https://github.com/kolaczyk/sand); 2014).
1._[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).
-_[Dynamical Processes on Complex Networks](http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521879507)_, by Alain Barrat, Marc Barthélemy and Alessandro Vespignani (2008).
-_[Neighbor Networks. Competitive Advantage Local and Personal](https://global.oup.com/academic/product/neighbor-networks-9780199570690)_, by Ronald S. Burt (2010).
- _[Visualisierung komplexer Strukturen. Grundlagen der Darstellung mehrdimensionaler Netzwerke](http://www.campus.de/buecher-campus-verlag/wissenschaft/soziologie/visualisierung_komplexer_strukturen-2467.html)_, by Lothar Krempel, in German.
1. [ASONAM - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining](http://asonam.cpsc.ucalgary.ca/).
- [CNDay - Cambridge Networks Day](http://www.cnn.group.cam.ac.uk/cambridge-networks-day) - Convened by the Cambridge Networks Network.
- [EUSN - European Conference on Social Networks](http://eusn.org/).
- [PolNet - Annual Political Networks Workshops and Conference](http://conference.polinetworks.org/) - Organized by the APSA Organized Section on Political Networks.
1. [CS 8803-NS: Network Science](http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/), by Constantine Dovrolis - Mostly open access readings (Georgia Tech, 2015).
- [Complex Networks](https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/), by Peter Sheridan Dodds (University of Vermont, 2016).
- [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: Penn State Math 485 Lecture Notes](http://www.personal.psu.edu/cxg286/Math485.pdf), by Christopher Griffin - Full lecture notes (Penn State University, 2012).
- [Network Analysis and Modeling (CSCI 5352)](http://tuvalu.santafe.edu/~aaronc/courses/5352/), by Aaron Clauset - Full lecture slides and readings (University of Colorado, 2014).
- [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).
- [Network Science (Physics)](http://barabasilab.neu.edu/courses/phys5116/), 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](http://www.mjdenny.com/workshops/SN_Theory_I.pdf) and [Intermediate Social Network Theory](http://www.mjdenny.com/workshops/Relational_Theory_Workshop.pdf), by Matthew J. Denny - Workshop notes and slides (2014–5).
- [The Structure of Information Networks](https://www.cs.cornell.edu/Courses/cs6850/2008fa/), by Jon Kleinberg - Links to many diverse readings (Cornell University, 2008).
> See also [Mangal](http://mangal.io/), an online platform and collection of tools 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)).
> 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. [AFS RT 26 “Réseaux sociaux”](http://www.cmh.pro.ens.fr/reseaux-sociaux/) - Thematic Network of the French Sociological Association, in French.
- [ECPR Political Networks SG](https://politicalnetsecpr.wordpress.com/) - Standing Group of the European Consortium for Political Research ([Twitter account](https://twitter.com/politicalnets)).
- [GDR Analyse de réseaux en sciences humaines et sociales](http://arshs.hypotheses.org/), in French.
- [Groupe FMR - Flux, Matrices, Réseaux](http://groupefmr.hypotheses.org/), in French.
- [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.
- [Interdependence in Governance and Policy Research Group](https://sites.psu.edu/desmaraisgroup/) - Led by Bruce A. Desmarais at Penn State University.
- [Indiana University Network Science Institute (IUNI)](http://iuni.iu.edu/).
- [Interdisciplinary Center for Network Science and Applications (iCeNSA) at the University of Notre Dame](http://icensa.com/).
- [LINKS Center for Social Network Analysis at the Gatton College of Business and Economics, University of Kentucky](https://sites.google.com/site/uklinkscenter/).
- [NetSCI Lab at the Rutgers School of Communication and Information](http://netsci.rutgers.edu/).
- [Network Science Center at the U.S. Military Academy (USMA) in West Point](http://www.usma.edu/nsc/) ([blog](http://blog.netsciwestpoint.org/)).
- [Network Science IGERT at the University of California at Santa Barbara (UCSB)](http://networkscience.igert.ucsb.edu/) - Features an [NSF-funded](http://www.igert.org/) graduate programme.
- [Networks, Computation, and Social Dynamics Lab](http://www.ncasd.org/) - Headed by Carter T. Butts. Part of the [Center for Networks and Relational Analysis](http://relationalanalysis.org/) (CNRA) at the University of California in Irvine.
- [Northeastern University Network Science Institute](http://www.networkscienceinstitute.org/) - Features a PhD in Network Science program..
- [Northeastern University Center for Complex Network Research](http://www.barabasilab.com/) - Led by Albert-László Barabási.
- [Northeastern University MOBS Lab - Laboratory for the Modeling of Biological and Socio-technical Systems](http://www.mobs-lab.org/) - Led by Alessandro Vespignani.
1. [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.
- [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/).
- [ORIO - Observatoire des Réseaux Intra- et Inter-Organisationnels](http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/) - A research program on networks and regulation.
- [‘Réseaux et Régulation’ Conference Cycle](http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/sminaire-rseaux-et-rgulation/) - Seminar based at Sciences Po in Paris, France.
1. [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).
- [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).
- [Graph Theory and Networks in Biology](http://dx.doi.org/10.1049/iet-syb:20060038) ([preprint](http://arxiv.org/abs/q-bio/0604006); _IET Systems Biology_, 2007).
- [Network Analysis and Political Science](http://www.annualreviews.org/doi/abs/10.1146/annurev.polisci.12.040907.115949) (_Annual Review of Political Science_, 2011).
- [Networks and History](http://onlinelibrary.wiley.com/doi/10.1002/cplx.10054/abstract) (_Complexity_, 2002).
- [Social Network Algorithms and Software](http://www.sciencedirect.com/science/article/pii/B9780080970868431211) (_International Encyclopedia of Social and Behavioral Sciences_, 2015).
- [Social Network Analysis in the Study of Terrorism and Political Violence](http://journals.cambridge.org/article_S1049096510001848) ([preprint](http://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1048&context=pn_wp);_PS: Political Science and Politics_, 2011).
- [Statistical Models for Social Networks](http://www.annualreviews.org/doi/abs/10.1146/annurev.soc.012809.102709) (_Annual Review of Sociology_, 2011).
- [The Structure and Function of Complex Networks](http://epubs.siam.org/doi/abs/10.1137/S003614450342480) (_SIAM Review_, 2003).
> Several links in this section come from the [NetWiki Shared Code](http://netwiki.amath.unc.edu/SharedCode/SharedCode) page. Software-centric tutorials are listed below their program of choice: other tutorials are listed [in the next section](#tutorials).
> 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/).
> Also note that the Wikipedia English entry on [Social Network Analysis Software](https://en.wikipedia.org/wiki/Social_network_analysis_software) links to many commercial that are often very expensive, outdated, and far from being awesome by any reasonable standard.
- [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.
- [PNet](http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/PNet-software/index.html) - Simulation and estimation of exponential random graph models (ERGMs), written in Java for Windows.
- [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.
- [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.
- [SoNIA](http://web.stanford.edu/group/sonia/) (Social Network Image Animator) - 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.
> 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.
- [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)).
- [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).
- [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.
> 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.
- [Boost Graph Library (BGL)](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.
- [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 OSX.
- [OpenOrd: Large-scale Graph Layout (formerly DrL)](http://www.cs.sandia.gov/~smartin/software.html) - Written in C++. Also available as a [Gephi plugin](https://marketplace.gephi.org/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).
1. [Cytoscape.js](http://js.cytoscape.org/) - Graph theory (a.k.a. network) library for analysis and visualisation.
- [d3.js](https://d3js.org/) - JavaScript visualization library that can plot [force-directed graphs](http://bl.ocks.org/mbostock/4062045).
- [greuler](https://maurizzzio.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/).
- [jLouvain](https://github.com/upphiminn/jLouvain) - Louvain community detection for Javascript ([example](http://bl.ocks.org/emeeks/125db75c9b55ddcbdeb5)).
- [Sigma](http://sigmajs.org/) - JavaScript library dedicated to graph drawing.
> Most items below are from [a Google spreadsheet](https://docs.google.com/spreadsheets/d/1vJILk2EW1JnR3YAwTSSqAV5mPkeXaezy45wOoafBpfU/edit#gid=0) by Michał Bojanowski and others.
> 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)).
- [networkx](http://networkx.github.io/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
> See also [this Google spreadsheet](https://docs.google.com/spreadsheets/d/1CoFGtrW85D9FsVcAE5-bcXVl6QOTncwXjFBYp4u2WgE/edit?usp=sharing) by Ian McCulloh and others.
> 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.
- [concoR](https://github.com/aslez/concoR) - A translation 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).
- [GERGM](https://cran.r-project.org/web/packages/GERGM/) - Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM).
- [hergm](https://cran.r-project.org/web/packages/hergm/) - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence.
- [rgexf](https://bitbucket.org/gvegayon/rgexf/wiki/Home) - 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.
- [spectralGOF](http://people.bu.edu/jccs/spectralGOF.html) - Compute the "spectral goodness of fit" (SGOF), a measure of how well a network model explains the structure of an observed network.
- [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)).
- [tergm](https://cran.r-project.org/web/packages/tergm/) - Fit, simulate and diagnose models for temporal exponential-family random graph models (TERGM).
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/)).
- [JGraphT](http://jgrapht.org/) - Java graph library for graph data structures and algorithms ([example algorithms](https://github.com/agouge/Java-Network-Analyzer)).
- [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)).
- [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.
- [Static and Dynamic Network Visualization with R](http://kateto.net/network-visualization) - Covers the igraph, network, networkD3 and ndtv packages (2015).
- [Working with Bipartite/Affiliation Network Data in R](https://solomonmessing.wordpress.com/2012/09/30/working-with-bipartiteaffiliation-network-data-in-r/) (2012).
- [Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks](http://www.soc.duke.edu/~jmoody77/chains.pdf) - CLassic example of a real-world sexual network.
- [David Knoke on Network Analysis](https://thesocietypages.org/methods/2015/01/30/david-knoke-on-network-analysis/) - A 20-minute interview that discusses the uses and benefits of network analysis, drawing upon Knoke's research on terrorist networks.
- [Mixed-Method Approaches to Social Network Analysis](https://www.youtube.com/playlist?list=PL3zdEY084WkQD79mR00RSt8j5RuyPwMJE) - Videos of a conference at the Middlesex University School of Law (2014).
- [Modeling Complex Social Networks: Challenges and Opportunities for Statistical Learning and Inference](https://www.youtube.com/watch?v=1xLjYc7EUEU) - Video of a seminar talk by Jennifer Neville at Purdue University (2011).
- [The Performativity of Networks](http://kieranhealy.org/files/papers/performativity.pdf) - Paper that connects network theory to the sociology of science.
- [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.
- [Social Networks](http://eszter.com/contract.html#socnet) - Reading list of sociological classics about social networks: Bonacich, Borgatti and Everett, Burt, Emirbayer, Freeman, Granovetter, Padgett and Ansell, Simmel, Wellman, etc.
- [Tarot Cards for Principles of Complex Systems and Complex Networks](https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/tarotcards/) - Part of a course by Peter Sheridan Dodds.
- [The Ties that Divide: A Network Analysis of the International Monetary System, 1890–1910](http://www.stats.ox.ac.uk/~snijders/FlandreauJobst2005.pdf) - Network analysis of the foreign exchange system in the late 19th century ([data](http://eh.net/database/international-currencies-1890-1910/)).
- [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.
> For more blog posts on manipulating networks with R, try searching for [‘networks’](http://www.r-bloggers.com/?s=networks) or [‘social network analysis’](http://www.r-bloggers.com/?s=social+network+analysis) on the [R-Bloggers](http://www.r-bloggers.com/) R blogs aggregator.
1. [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.
- [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/).
- [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/).
- [_Star Wars_ Social Networks: The Force Awakens](http://evelinag.com/blog/2016/01-25-social-network-force-awakens/index.html) - Example of a social network analysis written in F#.
1. [The Emergence of Network Science](https://www.cornell.edu/video/emergence-of-network-science) - Video documentary, featuring Steven Strogatz and many others.
- [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.
- [Three Hard Questions about Network Science](http://environmentalpolicy.ucdavis.edu/node/292).
- [What is Network Science?](http://journals.cambridge.org/repo_A88Sa8AHdt4SoI) - First editorial of the recent _Network Science_ journal.
### Small Worlds
> 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.
- [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 Watts, Steven Strogatz, Jon Kleinberg and other speakers.
- [Patterns in the Ivy: The Small World of Metal](http://badhessian.org/2013/09/patterns-in-the-ivy-the-small-world-of-metal/) - Example of a two-mode network analysis based on metal artists and bands.
- [Six Degrees of Separation](https://en.wikipedia.org/wiki/Six_degrees_of_separation) - Wikipedia English entry.
To the extent possible under law, the authors of this list – by chronological order: [François Briatte](http://f.briatte.org/), [Ian McCulloh](https://www.linkedin.com/in/mcculloh), [Aditya Khanna](http://home.uchicago.edu/~khanna7), [Manlio De Domenico](http://deim.urv.cat/~manlio.dedomenico/index.php), Patrick Kaminski, [Ericka Menchen-Trevino](http://www.ericka.cc/) – have waived all copyright and related or neighboring rights to this work.
