Unraveling the effects of multiscale network entanglement on empirical systems

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...

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Main Authors: Arsham Ghavasieh, Massimo Stella, Jacob Biamonte, Manlio De Domenico
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Communications Physics
Online Access:https://doi.org/10.1038/s42005-021-00633-0
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spelling doaj-6d1408f43f6042f495fc9f8a7075347a2021-06-13T11:27:54ZengNature Publishing GroupCommunications Physics2399-36502021-06-014111010.1038/s42005-021-00633-0Unraveling the effects of multiscale network entanglement on empirical systemsArsham Ghavasieh0Massimo Stella1Jacob Biamonte2Manlio De Domenico3CoMuNe Lab, Fondazione Bruno KesslerCoMuNe Lab, Fondazione Bruno KesslerSkolkovo Institute of Science and TechnologyCoMuNe Lab, Fondazione Bruno KesslerThe 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.https://doi.org/10.1038/s42005-021-00633-0
collection DOAJ
language English
format Article
sources DOAJ
author Arsham Ghavasieh
Massimo Stella
Jacob Biamonte
Manlio De Domenico
spellingShingle Arsham Ghavasieh
Massimo Stella
Jacob Biamonte
Manlio De Domenico
Unraveling the effects of multiscale network entanglement on empirical systems
Communications Physics
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 Publishing Group
series Communications Physics
issn 2399-3650
publishDate 2021-06-01
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.
url https://doi.org/10.1038/s42005-021-00633-0
work_keys_str_mv AT arshamghavasieh unravelingtheeffectsofmultiscalenetworkentanglementonempiricalsystems
AT massimostella unravelingtheeffectsofmultiscalenetworkentanglementonempiricalsystems
AT jacobbiamonte unravelingtheeffectsofmultiscalenetworkentanglementonempiricalsystems
AT manliodedomenico unravelingtheeffectsofmultiscalenetworkentanglementonempiricalsystems
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