benedekrozemberczki/awesome-community-detection resource

Health v2 · maintenance only

Adoption not part of the score

2450 stars · 357 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of community detection research papers, organized by method family (matrix factorization, deep learning, spectral, temporal, hypergraphs, etc.), with links to implementations. It also points to relevant libraries and related paper collections.

Use cases

• find community detection algorithms for a social network analysis project
• research papers on graph clustering with code
• compare Louvain, BigCLAM, and deep learning community detection methods
• find implementations of node2vec and DeepWalk style graph embeddings
• get started learning network science and graph partitioning
• find libraries for community detection in Python

When to choose

• you want a survey-style index of community detection literature with runnable implementations
• you are doing academic research or literature review on graph clustering
• you need to discover libraries like igraph or networkx-based tools for network analysis

When to avoid

• you need a ready-to-use community detection library rather than a paper index
• you need production graph analytics infrastructure, not references
• your problem is not graph/network related

Facets

learning-resource · maturity active

data-science machine-learning developer-tools machine-learning data-science social-media tutorials python awesome-list community-detection graph-clustering network-analysis research-papers graph-embedding algorithms

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markdown · JSON · MCP: product_card(name="benedekrozemberczki/awesome-community-detection")