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This code is an implementation of Girvan-Newman community detection algorithm for weighted graphs in Python
This project forked from kjahan/community
This code is an implementation of Girvan-Newman community detection algorithm for weighted graphs in Python
Community detection for weighted graphs ======================================= Input: Graph G that we want to identify its communities. See graph.txt as a sample of the input graph style. It's basicall a csv file where each line is represented by a triple such as: u,v,w The above line basically means that there is an edge between nodes u and v whose weight is w. The lowest id should be zero and the nodes ids increase. For running this code you need to install NetworkX & Matplolib libraries. You can find the details of Girvan-Newman algorithm from the following link: http://www.csc.uvic.ca/~jahan/codes/cmty.html If you have any questions about this code, contact me @ [email protected]
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