Some overlapping community detection algorithms (Until 2016). by Yulin Che (https://github.com/CheYulin) for the PhD qualification exam (survey on community detection algorithms)
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Updated
Feb 28, 2022 - C++
Some overlapping community detection algorithms (Until 2016). by Yulin Che (https://github.com/CheYulin) for the PhD qualification exam (survey on community detection algorithms)
Python implementation of Newman's spectral methods to maximize modularity.
A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
TILES: an algorithm for community discovery in dynamic social networks
DEMON: a local-first discovery method for overlapping communities.
Label propagation algorithm for community detection based on node importance and label influence
Super.Complex is a supervised machine learning algorithm for community detection in networks. It learns information from known communities and uses this information to find new communities on the network.
Exhaustive search for the best Minimally Complex spin Model: "community detection" in binary data.
Code necessary to reproduce the experimentation presented in "A Multi-Objective Genetic Algorithm for Detecting Dynamic Communities using a Local Search driven Immigrant’s Scheme"
Eva: Community Discovery for Labeled Graphs (networkx implementation)
Greedy search for the best Minimally Complex spin Model: "community detection" in binary data.
Repository to reproduce "Cascade-based Echo Chamber Detection" accepted at CIKM2022
A python script for detecting communities in graphs using the clique percolation method.
Deprecated: Parallelization For Locality-Based Overlapping Community Detection Algorithms
Reinforcement learning community detection method using known communities
A Python implementation of improved Label Propagation Algorithm.
Similarity Project
Label propagation algorithm based on local cycles for community detection
APAL: Adjacency Propagation Algorithm for overlapping community detection
This Repository contains series of python programs for simulations of Schelling Model i.e. each node in a grid must satisfy threshold neighbourhood property.
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