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

Publication-quality network visualisations in python

A tidy API for graph manipulation

Community Discovery Library

Three.js widgets for R and shiny

d3.js helpers for R

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

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

IGraph/M is the igraph interface for Mathematica

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

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

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

Time series to visibility graphs.

Beautiful graph drawing

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

R package to create, modify and visualize graphs with multiple layers.

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

Tools for multimodal and multilevel network analysis

#TidyTuesday Contributions.