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Analyzed over 2 years ago. based on code collected over 2 years ago.

Project Summary

graph-tool is a python module to help with statistical analysis of graphs.

Its feature set includes support for both directed and undirected graphs with arbitrary vertex and edge properties, edge/vertex filtering, correlated random graph generation and community detection.

It supports also several statistical measurements, such as: degree histogram, combined degree histogram, vertex-vertex degree correlation, average nearest neighbours degree, vertex-edge-vertex correlation, clustering coefficients, extended clustering coefficient, assortativity coefficient, betweenness centrality, average distance, component statistics and reciprocity.

The core algorithms are written in C++, making use of the Boost Graph Library, and template metaprogramming techniques, with performance in mind.

Tags

algorithms boost c++ complexnetworks c++templates graph graphml graphviz library linux mac math mathematics network networks python research researchtool science statistics tools visualization

In a Nutshell, graph-tool...

GNU General Public License v3.0 only
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These details are provided for information only. No information here is legal advice and should not be used as such.

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Languages

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C++
60%
Python
34%
8 Other
6%

30 Day Summary

Oct 7 2016 — Nov 6 2016

12 Month Summary

Nov 6 2015 — Nov 6 2016
  • 669 Commits
    Down -51 (7%) from previous 12 months
  • 2 Contributors
    Down -2 (50%) from previous 12 months

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