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

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

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

TypeScript port of the Java networkanalysis package that provides data structures and algorithms for network analysis.

Mapping Echo Chambers In Large Networks

Analysis of the Symptoms-Disease Network database using communities.

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.

Course Assignment on Clustering of Spatial Transcriptomics Data

Principle Component Analysis (PCA) with varimax rotation.

Clustering and centrality analysis on PPI network

Github users community detection

Batched Graph Clustering using Louvain Method on multiple GPUs.

C-blondel: an efficient louvain-based dynamic community detection algorithm

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