A curated list of community detection research papers with implementations.
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Updated
Mar 16, 2024 - Python
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
Three.js widgets for R and shiny
A tidy API for graph manipulation
Publication-quality network visualisations in python
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
IGraph/M is the igraph interface for Mathematica
d3.js helpers for R
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
Clique Percolation Method to extract communities for a graph network. [R implementation]
The home of the Jupyter notebook graph visualization widget powered by yFiles for HTML
🎇 Network/Graph Analysis with NetworkX in Python. Topics range from network types, statistics, link prediction measures, and community detection.
Time series to visibility graphs.
Find community/segment in an attributed graph of Facebook data.
Tools for multimodal and multilevel network analysis
Implementation of HITS algorithm for finding hub and authority scores for twitter users
Unified generation and analysis of networks in Python, with neuroscientific additions
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