Introducing the Python "communities" Library for Graph Clustering and Visualization

This article introduces the Python "communities" library, explains its support for multiple graph clustering algorithms such as Louvain and Girvan‑Newman, demonstrates how to import algorithms, build adjacency matrices, visualize communities, create animation of the clustering process, and provides author and resource information.

Data ScienceLouvain Algorithmcommunity-detection

0 likes · 7 min read

Introducing the Python "communities" Library for Graph Clustering and Visualization

MaGe Linux Operations

Mar 6, 2021 · Artificial Intelligence

Discover Communities: A Python Library for Graph Clustering Visualization

This article introduces the Python library communities, which detects and visualizes community structures in graph‑clustering problems, supports multiple algorithms such as Louvain and Girvan‑Newman, provides code examples for importing algorithms, building adjacency matrices, visualizing results with color coding, and creating animation GIFs of the clustering process.

Algorithmscommunity-detectiongraph-clustering

0 likes · 7 min read

Discover Communities: A Python Library for Graph Clustering Visualization