Louvain Community Detection
To build and install from source, run
python setup.py install
You can also install from pip with
pip install python-louvain
The package name on pip is
but it is imported as
community in python.
More documentation for this module can be found at
To use as a Python library
import community as community_louvain import matplotlib.cm as cm import matplotlib.pyplot as plt import networkx as nx # load the karate club graph G = nx.karate_club_graph() # compute the best partition partition = community_louvain.best_partition(G) # draw the graph pos = nx.spring_layout(G) # color the nodes according to their partition cmap = cm.get_cmap('viridis', max(partition.values()) + 1) nx.draw_networkx_nodes(G, pos, partition.keys(), node_size=40, cmap=cmap, node_color=list(partition.values())) nx.draw_networkx_edges(G, pos, alpha=0.5) plt.show()
It can also be run on the command line
$ community <filename>
filename is a binary file as generated by the
convert utility distributed with the C implementation at
However as this is mostly for debugging purposes its use should be avoided.
Instead importing this library for use in Python is recommended.
You can find documentation at https://python-louvain.readthedocs.io/
To generate documentation, run
pip install numpydoc sphinx cd docs make
To run tests, run
pip install nose python setup.py test