Ensemble Louvain is a parallelized Python implementation of the community detection algorithm suitable for community evolution, presented and applied in the following works:
- Evkoski, Bojan, et al. "Community evolution in retweet networks." Plos one 16.9 (2021): e0256175: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256175
- Evkoski, Bojan, et al. "Retweet communities reveal the main sources of hate speech." PloS one 17.3 (2022): e0265602: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0265602
- Evkoski, Bojan, et al. "Evolution of topics and hate speech in retweet network communities." Applied Network Science 6.1 (2021): 1-20: https://appliednetsci.springeropen.com/articles/10.1007/s41109-021-00439-7
Use the package manager pip to install elouvain.
pip install elouvainfrom elouvain import ensemble_louvain
import networkx as nx
if __name__ == '__main__':
G = nx.karate_club_graph() # create the well-known karate club network
partition = ensemble_louvain.detect(G) # apply Ensemble Louvain on the graph
partition[1] # get community label for node 1