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An [awesome list](https://github.com/sindresorhus/awesome) of resources to construct, analyze and visualize network data.
Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning), [Awesome Math](https://github.com/rossant/awesome-math) and others.
## Table of Contents
- __[Books](#books)__
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- __[Small Worlds](#small-worlds)__
- __[Contribution Guidelines](#contribution-guidelines)__
> Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning) and [Awesome Math](https://github.com/rossant/awesome-math).
## Books
### General Overviews
- _[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).
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://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).
- _[Networks. An Introduction](http://www-personal.umich.edu/~mejn/networks-an-introduction/)_, by Mark E.J. Newman (2010).
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### Algorithms
> Network placement and community detection algorithms that do not fit in any of the following language-specific subsections.
> 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](https://github.com/enjalot/algovis) Visualization lists for even more mad 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)).
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### C / C++
> 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.
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- [JUNG — Java Universal Network/Graph Framework](http://jung.sourceforge.net/) - Extensible library to represent network objects.
- [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.
- [Awesome LaTeX: TiKZ](https://github.com/egeerardyn/awesome-LaTeX#tikz).
- [How to Draw Graphs in LaTeX?](https://tex.stackexchange.com/questions/57152/how-to-draw-graphs-in-latex)
- [TikZ Graph Examples](http://www.texample.net/tikz/examples/tag/graphs/).
- [TikZ & PGF Manual](http://distrib-coffee.ipsl.jussieu.fr/pub/mirrors/ctan/graphics/pgf/base/doc/pgfmanual.pdf).