improved_spectral_community_detection swMATH ID: 34810 Software Authors: Ali, Hafiz Tiomoko; Couillet, Romain Description: 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. Homepage: https://github.com/hafizTiomoko/improved_spectral_community_detection Source Code: https://github.com/hafizTiomoko/improved_spectral_community_detection Dependencies: Python Keywords: community detection; random networks; heterogeneous graphs; random matrix theory; spectral clustering Related Software: Graclus; ProTraS; k-means++; FLANN; JDQZ; JDQR; GitHub; AS 136 Cited in: 3 Publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year Improved spectral community detection in large heterogeneous networks. Zbl 1470.68070Ali, Hafiz Tiomoko; Couillet, Romain 2018 all top 5 Cited by 7 Authors 1 Ali, Hafiz Tiomoko 1 Chakrabarty, Arijit 1 Chakraborty, Sukrit 1 Couillet, Romain 1 Hazra, Rajat Subhra 1 Loukas, Andreas 1 Tremblay, Nicolas Cited in 2 Serials 1 Journal of Statistical Physics 1 Journal of Machine Learning Research (JMLR) Cited in 5 Fields 2 Combinatorics (05-XX) 2 Statistics (62-XX) 1 Functional analysis (46-XX) 1 Probability theory and stochastic processes (60-XX) 1 Computer science (68-XX) Citations by Year