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close #105 - thanks @tfardet
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@ -642,6 +642,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
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- [networkx](http://networkx.github.io/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
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- [networkx](http://networkx.github.io/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
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- [Implementing an ERGM from Scratch in Python](https://gist.github.com/dmasad/8509304), using networkx and numpy (2014).
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- [Implementing an ERGM from Scratch in Python](https://gist.github.com/dmasad/8509304), using networkx and numpy (2014).
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- [nxviz](https://github.com/ericmjl/nxviz/) - Visualization package for NetworkX.
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- [nxviz](https://github.com/ericmjl/nxviz/) - Visualization package for NetworkX.
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- [nngt](https://nngt.readthedocs.io) - Library-agnostic graph generation and analysis that wraps around `networkx`, `igraph` and `graph-tool`). Includes normalized graph measures, advanced visualizations, (geo)spatial tools, and interfaces for neuroscience simulators.
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- [npartite](https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks.
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- [npartite](https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks.
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- [PyGraphistry](https://github.com/graphistry/pygraphistry) - Python library to extract, transform, and visually explore big graphs.
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- [PyGraphistry](https://github.com/graphistry/pygraphistry) - Python library to extract, transform, and visually explore big graphs.
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- [python-igraph](http://igraph.org/python/) - Python version of the igraph network analysis package.
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- [python-igraph](http://igraph.org/python/) - Python version of the igraph network analysis package.
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@ -967,8 +968,9 @@ Alden S. Klovdahl,
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[Benedek Rozemberczki](https://github.com/benedekrozemberczki),
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[Benedek Rozemberczki](https://github.com/benedekrozemberczki),
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[Alex Loftus](https://github.com/loftusa),
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[Alex Loftus](https://github.com/loftusa),
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[Arun](https://github.com/arunppsg),
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[Arun](https://github.com/arunppsg),
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[Filippo Menczer](https://cnets.indiana.edu/fil/) and
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[Filippo Menczer](https://cnets.indiana.edu/fil/),
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[Marc Schiller](https://github.com/m4rcs) –
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[Marc Schiller](https://github.com/m4rcs) and
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[Tanguy Fardet](https://tfardet.srht.site/) -
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have waived all copyright and related or neighboring rights to this work.
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have waived all copyright and related or neighboring rights to this work.
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Thanks to [Robert J. Ackland](https://github.com/rjackland),
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Thanks to [Robert J. Ackland](https://github.com/rjackland),
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