improved_spectral_community_detection

Improved spectral community detection in large heterogeneous graphs: This page contains the python code implementing our new spectral community detection algorithm based on a Random Matrix Theory analysis of graph similarity matrices.

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References in zbMATH (referenced in 2 articles , 1 standard article )

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  1. Tremblay, Nicolas; Loukas, Andreas: Approximating spectral clustering via sampling: a review (2020)
  2. Ali, Hafiz Tiomoko; Couillet, Romain: Improved spectral community detection in large heterogeneous networks (2018)