Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning), [Awesome Math](https://github.com/rossant/awesome-math) and others.
1._[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).
-_[Network Science](http://www.nap.edu/catalog/11516/network-science)_, by the U.S. National Research Council - Full book online (2005).
-_[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._[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).
1._[Analyzing Social Networks](https://sites.google.com/site/analyzingsocialnetworks/)_ (using UCINET), by Stephen P. Borgatti, Martin G. Everett and Jeffrey C. Johnson (2013).
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).
2._[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).
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).
- [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)).
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.
1. [Center for Network Science, Central European University, Budapest](http://cns.ceu.edu/) - Features a PhD in Network Science program.
- [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.
- [Warren Center for Network & Data Sciences at the University of Pennsylvania](http://warrencenter.upenn.edu/).
- [Yale Institute for Network Science (YINS)](http://yins.yale.edu/).
### Research Groups
1. [Annenberg Networks Network](http://uscann.tumblr.com/) - Research group studying social networks at the University of Southern California.
- [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.
- [Cx-Nets](http://www.cxnets.org/) - Virtual collaboration between four complex networks research groups.
- [Interdependence in Governance and Policy Research Group](https://sites.psu.edu/desmaraisgroup/) - Led by Bruce A. Desmarais at Penn State University.
- [Large Graphs and Networks](http://sites.uclouvain.be/networks/) - Research group at the Catholic University of Louvain.
- [Peter J. Mucha's Research Group at the University of North Carolina at Chapel Hill](http://mucha.web.unc.edu/networks/).
- [Social Network Analysis Group @ Stanford](http://sna.stanford.edu/).
- [SocioPatterns](http://www.sociopatterns.org/) - Interdisciplinary research group that uses wireless sensors to study social network data.
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).
- [Biological Networks](http://algo.uni-konstanz.de/publications/bbs-bn-13.pdf) (_Handbook of Graph Drawing and Visualization_, 2013).
- [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/), 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.
1. [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)).
- [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).
- [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.
> For more awesome Python packages, see the [Awesome Python](https://github.com/vinta/awesome-python) list.
- [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)).
- [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/)).
- [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).
1. [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.
- [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.
- [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 Performativity of Networks](http://kieranhealy.org/files/papers/performativity.pdf) - A paper that connects network theory to the sociology of science.
### Blog Series
> Series of blog posts on network topics.
> 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. [Blog Posts About Networks by Baptiste Coulmont](http://coulmont.com/index.php?s=r%C3%A9seaux), in French.
- [Blog Posts About Networks by François Briatte](http://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.
- [Cosma Shalizi's notebooks](http://bactra.org/notebooks) on network-related topics, definitely worth listing in (selective) detail:
- [Analysis of Network Data](http://bactra.org/notebooks/network-data-analysis.html).
- [Assortative Social Networks and Neutral Cultural Evolution](http://bactra.org/notebooks/neutral-cultural-networks.html).
- [Networks Demystified](http://scottbot.net/tag/networks-demystified/), a series of blog posts by Scott B. Weingart.
- [R / Notes: Networks](http://f.briatte.org/r/category/networks) - Blog posts focused on manipulating networks in R, by François Briatte.
### Fictional Networks
> Explorations of fictional character networks.
1. [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/).
- [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#.
### Network Science
> Discussions of what "netsci" is about and means for other scientific disciplines.
1. [The Emergence of Network Science](https://www.cornell.edu/video/emergence-of-network-science) - Video documentary, featuring Steven Strogatz and many others.
- [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.
Please use U.S. English and remember that an awesome list has to be, well, awesome. The "[Awesome Manifesto](https://github.com/sindresorhus/awesome/blob/master/awesome.md)" states:
> Research if the stuff you're including is actually awesome. Put only stuff on the list you or another contributor can personally recommend and rather leave stuff out than include too much.
>
> ...
>
> __Comment on why something is awesome__
>
> Apart from suggesting a particular item on your list, you should also inform your readers why it's on the list and how they will benefit from it.
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.
