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Generalized Markov stability of network communities

Autor: Patelli, Aurelio, Gabrielli, Andrea, Cimini, Giulio

Publikováno v: Phys. Rev. E 101, 052301 (2020)

We address the problem of community detection in networks by introducing a general definition of Markov stability, based on the difference between the probability fluxes of a Markov chain on the network at different time scales. The specific implemen

Externí odkaz: http://arxiv.org/abs/1904.09877

Finding role communities in directed networks using Role-Based Similarity, Markov Stability and the Relaxed Minimum Spanning Tree

Autor: Beguerisse-Díaz, Mariano, Vangelov, Borislav, Barahona, Mauricio

Publikováno v: Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE, pp.937,940, 3-5 Dec. 2013

We present a framework to cluster nodes in directed networks according to their roles by combining Role-Based Similarity (RBS) and Markov Stability, two techniques based on flows. First we compute the RBS matrix, which contains the pairwise similarit

Externí odkaz: http://arxiv.org/abs/1309.1795

On Markov Stability

Autor: Risito, Corrado

Publikováno v: Proceedings of the American Mathematical Society, 1978 Oct 01. 72(1), 85-88.

Externí odkaz: https://www.jstor.org/stable/2042539

Generalized Markov stability of network communities

Autor: Giulio Cimini, Aurelio Patelli, Andrea Gabrielli

Publikováno v: Physical review. E
info:cnr-pdr/source/autori:Patelli, Aurelio; Gabrielli, Andrea; Cimini, Giulio/titolo:Generalized Markov stability of network communities/doi:10.1103%2FPhysRevE.101.052301/rivista:Physical review. E (Print)/anno:2020/pagina_da:052301-1/pagina_a:052301-11/intervallo_pagine:052301-1–052301-11/volume:101

We address the problem of community detection in networks by introducing a general definition of Markov stability, based on the difference between the probability fluxes of a Markov chain on the network at different time scales. The specific implemen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39b018d056443c3dec0224c04365c371