
The authors present two overlapping network community detection algorithms based on extended modularity and cosine functions, applicable to both undirected and directed graphs.


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efficient-overlapping-community-detection-algorithms-using-modularity-and-cosine-functions


Efficient Overlapping Community Detection Algorithms Using Modularity and Cosine Functions


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The authors propose improvements to community detection algorithms by incorporating random walks, enhancing efficiency and maintaining complexity. Their approach aims to refine clustering results while validating the effectiveness through experiments.


improving-community-detection-algorithms-with-random-walks


Improving Community Detection Algorithms with Random Walks



Edge covariates improve community detection in the VEC-SBM model.


vec-sbm-optimal-community-detection-with-vectorial-edges-covariates


VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
