Unraveling the effects of multiscale network entanglement on empirical systems

The dynamics of information within complex networks can be captured by a set of operators where the effect of detachment of a node defines the node-networks entanglement, which can be used as a multiscale centrality measure. Here, the authors show that the nodes with high entanglement centrality, wh...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Arsham Ghavasieh, Massimo Stella, Jacob Biamonte, Manlio De Domenico
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/6d1408f43f6042f495fc9f8a7075347a
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:6d1408f43f6042f495fc9f8a7075347a
record_format	dspace
spelling	oai:doaj.org-article:6d1408f43f6042f495fc9f8a7075347a2021-12-02T17:52:25ZUnraveling the effects of multiscale network entanglement on empirical systems10.1038/s42005-021-00633-02399-3650https://doaj.org/article/6d1408f43f6042f495fc9f8a7075347a2021-06-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00633-0https://doaj.org/toc/2399-3650The dynamics of information within complex networks can be captured by a set of operators where the effect of detachment of a node defines the node-networks entanglement, which can be used as a multiscale centrality measure. Here, the authors show that the nodes with high entanglement centrality, which are critical for information dynamics, are also the ones responsible for keeping the network integrated.Arsham GhavasiehMassimo StellaJacob BiamonteManlio De DomenicoNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Astrophysics QB460-466 Physics QC1-999
spellingShingle	Astrophysics QB460-466 Physics QC1-999 Arsham Ghavasieh Massimo Stella Jacob Biamonte Manlio De Domenico Unraveling the effects of multiscale network entanglement on empirical systems
description	The dynamics of information within complex networks can be captured by a set of operators where the effect of detachment of a node defines the node-networks entanglement, which can be used as a multiscale centrality measure. Here, the authors show that the nodes with high entanglement centrality, which are critical for information dynamics, are also the ones responsible for keeping the network integrated.
format	article
author	Arsham Ghavasieh Massimo Stella Jacob Biamonte Manlio De Domenico
author_facet	Arsham Ghavasieh Massimo Stella Jacob Biamonte Manlio De Domenico
author_sort	Arsham Ghavasieh
title	Unraveling the effects of multiscale network entanglement on empirical systems
title_short	Unraveling the effects of multiscale network entanglement on empirical systems
title_full	Unraveling the effects of multiscale network entanglement on empirical systems
title_fullStr	Unraveling the effects of multiscale network entanglement on empirical systems
title_full_unstemmed	Unraveling the effects of multiscale network entanglement on empirical systems
title_sort	unraveling the effects of multiscale network entanglement on empirical systems
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6d1408f43f6042f495fc9f8a7075347a
work_keys_str_mv	AT arshamghavasieh unravelingtheeffectsofmultiscalenetworkentanglementonempiricalsystems AT massimostella unravelingtheeffectsofmultiscalenetworkentanglementonempiricalsystems AT jacobbiamonte unravelingtheeffectsofmultiscalenetworkentanglementonempiricalsystems AT manliodedomenico unravelingtheeffectsofmultiscalenetworkentanglementonempiricalsystems
_version_	1718379231813042176

Unraveling the effects of multiscale network entanglement on empirical systems

Ejemplares similares