First-passage times to quantify and compare structural correlations and heterogeneity in complex systems

Quantifying heterogeneity and correlations in complex systems consisting of a large number of interacting elements is key to understand their emergent properties. Here, the authors propose a method based on the statistics of interclass mean first passage times or random walks, and use it to quantify...

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Autores principales:	Aleix Bassolas, Vincenzo Nicosia
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/fcefc73cb2c94819a23837de6fe3c25a
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spelling	oai:doaj.org-article:fcefc73cb2c94819a23837de6fe3c25a2021-12-02T14:30:31ZFirst-passage times to quantify and compare structural correlations and heterogeneity in complex systems10.1038/s42005-021-00580-w2399-3650https://doaj.org/article/fcefc73cb2c94819a23837de6fe3c25a2021-04-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00580-whttps://doaj.org/toc/2399-3650Quantifying heterogeneity and correlations in complex systems consisting of a large number of interacting elements is key to understand their emergent properties. Here, the authors propose a method based on the statistics of interclass mean first passage times or random walks, and use it to quantify in a non-parametric way the level of heterogeneity and the presence of correlations in multiscale complex systems, where nodes are associated to a discrete number of classes.Aleix BassolasVincenzo NicosiaNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Astrophysics QB460-466 Physics QC1-999
spellingShingle	Astrophysics QB460-466 Physics QC1-999 Aleix Bassolas Vincenzo Nicosia First-passage times to quantify and compare structural correlations and heterogeneity in complex systems
description	Quantifying heterogeneity and correlations in complex systems consisting of a large number of interacting elements is key to understand their emergent properties. Here, the authors propose a method based on the statistics of interclass mean first passage times or random walks, and use it to quantify in a non-parametric way the level of heterogeneity and the presence of correlations in multiscale complex systems, where nodes are associated to a discrete number of classes.
format	article
author	Aleix Bassolas Vincenzo Nicosia
author_facet	Aleix Bassolas Vincenzo Nicosia
author_sort	Aleix Bassolas
title	First-passage times to quantify and compare structural correlations and heterogeneity in complex systems
title_short	First-passage times to quantify and compare structural correlations and heterogeneity in complex systems
title_full	First-passage times to quantify and compare structural correlations and heterogeneity in complex systems
title_fullStr	First-passage times to quantify and compare structural correlations and heterogeneity in complex systems
title_full_unstemmed	First-passage times to quantify and compare structural correlations and heterogeneity in complex systems
title_sort	first-passage times to quantify and compare structural correlations and heterogeneity in complex systems
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fcefc73cb2c94819a23837de6fe3c25a
work_keys_str_mv	AT aleixbassolas firstpassagetimestoquantifyandcomparestructuralcorrelationsandheterogeneityincomplexsystems AT vincenzonicosia firstpassagetimestoquantifyandcomparestructuralcorrelationsandheterogeneityincomplexsystems
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First-passage times to quantify and compare structural correlations and heterogeneity in complex systems

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