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Game of Thrones, Paris metro
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@ -372,6 +372,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
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- [Glossary of terms for statistical network models](https://statnet.org/trac/raw-attachment/wiki/Resources/glossary.pdf).
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- [Glossary of terms for statistical network models](https://statnet.org/trac/raw-attachment/wiki/Resources/glossary.pdf).
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- [Network Fact](https://twitter.com/networkfact) - Twitter account about networks, graph theory, and related topics.
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- [Network Fact](https://twitter.com/networkfact) - Twitter account about networks, graph theory, and related topics.
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- [The Performativity of Networks](http://kieranhealy.org/files/papers/performativity.pdf) - Paper that connects network theory to the sociology of science.
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- [The Performativity of Networks](http://kieranhealy.org/files/papers/performativity.pdf) - Paper that connects network theory to the sociology of science.
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- [Plan interactif du métro](http://www.jeromecukier.net/projects/metro/map.html) - An interactive visualization of the Paris metro network, drawn with d3.js, in French.
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- [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.
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- [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.
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- [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.
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- [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.
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- Research on the structural position of Paul Revere during the American Revolution:
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- Research on the structural position of Paul Revere during the American Revolution:
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@ -416,7 +417,12 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
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> Explorations of fictional character networks.
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> Explorations of fictional character networks.
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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/).
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1. Networks based on the _Game of Thrones_ book and TV series:
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- [A Social Network of Fire and Ice](http://www.zengxiaohan.com/data/a-social-network-song-ice-fire) - Ties between characters who know each other in the TV show.
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- [Events in the Game of Thrones](http://www.jeromecukier.net/projects/agot/events.html) - Networked chronology of all alliances and kills in the books.
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- [Places in the Game of Thrones](http://www.jeromecukier.net/projects/agot/places.html) - Geographic network of all character travels in the books.
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- [Network of Thrones](http://www.maa.org/sites/default/files/pdf/Mathhorizons/NetworkofThrones%20%281%29.pdf) - Network-driven search for influential characters in the third book of the series.
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- [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/).
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- [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#.
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- [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#.
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### Network Science
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### Network Science
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