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).

No description provided.

:sparkler: 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)

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

Mapping Echo Chambers In Large Networks

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

Analysis of the Symptoms-Disease Network database using communities.

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

Performance of Market States Based Trading Strategies (EPFL - Financial Big Data)

Course Assignment on Clustering of Spatial Transcriptomics Data

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.

Principle Component Analysis (PCA) with varimax rotation.

Batched Graph Clustering using Louvain Method on multiple GPUs.

Clustering and centrality analysis on PPI network

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

In-depth analysis of a Spotify artist feature collaboration network and various subgraphs for small-world properties.

Github users community detection

Bachelor Thesis Project - Improving Animated Node-Link Diagrams with Scented Widgets

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

A team project for the course Algorithm Analysis and Design at IIIT-Hyderabad. Primarily features modelling the stock market as a graph, testing the metrics of numerous algorithms for modeling correlation networks and detecting market fragmentation.

Community Detection Analysis in Word Association Network using igraph R Library

This research seeks to explore the discussions surrounding JAK inhibitors on Reddit by utilizing graph modeling and community detection techniques through the application of NetworkX and the Louvain algorithm.

Recreation and enrichment of the gastric (GC) cancer single-cell RNA-seq (scRNA-seq) data analysis pipeline described in the "Comprehensive analysis of metastatic gastric cancer tumour cells using single‑cell RNA‑seq" by Wang B. et. al, using the raw counts matrix they provide.

Louvain's community detection algorithm for big graphs

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