Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.

Java package that provides data structures and algorithms for network analysis.

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

🎇 Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.

PyGenStability: Multiscale community detection with generalized Markov Stability

A tool for community detection and evaluation in weighted networks with positive and negative edges

A subreddit recommendation engine using selected network link prediction and community detection algorithms to predict subreddit forum groups a particular user is likely to comment on.

Implements a generalized Louvain algorithm (C++ backend and Matlab interface)

maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.

Clustering and centrality analysis on PPI network

Batched Graph Clustering using Louvain Method on multiple GPUs.

Probably the first scalable and open source triangle count based on each edge, on scala and spark for every Big Dataset. (Louvain)

Mapping Echo Chambers In Large Networks

A data information project of a philosophy data society

Analysis of the Symptoms-Disease Network database using communities.

The purpose of packge is to detect relationship between graph nodes. It detects the overall community structure

Advanced Graph Clustering method documentation and implementation (From Spectral Clustering to Deep Graph Clustering)

Forked from https://sourceforge.net/projects/louvain/ . This fork attemps to fix some memory corruption bugs

Theorie des graphes - tous les algorithmes pratiques. Graph Theory - All practical Algorithms