Detecting Communities in Weighted Graphs
A weighted graph G. See graph.txt file as a sample for the input graph format. It's a CSV file where each line has the following format:
Above line specifies that there is an edge between node u and v with positive weight w. The lowest id should be zero and the nodes id's increase. If you want to used this code for an unweighted graph, simply set the weight equal to one on each input line.
This code runs Girvan-Newman algorithm and returns a list of detected communities with maximum modularity.
For running the python code, you need to install Python 2.7 and NetworkX package on your machine. Check link below for more details:
Girvan-Newman Algorithm Description
You can find the details for how Girvan-Newman algorithm works from the following link:
How to run Python script
python cmty.py graph.txt
If you have any question about the code or you want to report a bug, please contact me @ k DOT jahanbakhsh AT gmail DOT com.
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