igraph

A curated list of community detection research papers with implementations.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Community Discovery Library

A tidy API for graph manipulation

Three.js widgets for R and shiny

Publication-quality network visualisations in python

The home of the Jupyter notebook graph visualization widget powered by yFiles for HTML

An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

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

IGraph/M is the igraph interface for Mathematica

Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied Mathematics in the Institute of Mathematics and Computer Science at University of São Paulo

d3.js helpers for R

Interactive graph visualizations with Python and HTML/CSS/JS.

Time series to visibility graphs.

Clique Percolation Method to extract communities for a graph network. [R implementation]

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

Inferential Methods for Multimodal and Other Networks

Your favorite Python graph libraries, scalable and interoperable. Graph databases in memory, and familiar graph APIs for cloud databases.

Find community/segment in an attributed graph of Facebook data.