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Community detection using Newman spectral methods to maximize modularity

Project description

Python implementation of Newman’s spectral methods to maximize modularity.

See:

All the datasets in ./data comes from http://www-personal.umich.edu/~mejn/netdata/

Specifically, big_10_football_directed.gml is compiled by myself to test community detection for directed network. I combined data from http://www.sports-reference.com/cfb/conferences/big-ten/2005-schedule.html and the original football.gml to define the edge directions.

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Filename, size & hash SHA256 hash help File type Python version Upload date
python_modularity_maximization-0.0.1-py2-none-any.whl (3.5 kB) Copy SHA256 hash SHA256 Wheel py2 Apr 10, 2017
python-modularity-maximization-0.0.1.tar.gz (2.4 kB) Copy SHA256 hash SHA256 Source None Apr 10, 2017

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