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Correlated network of networks enhances robustness against catastrophic failures

Networks in nature rarely function in isolation but instead interact with one another with a form of a network of networks (NoN). A network of networks with interdependency between distinct networks contains instability of abrupt collapse related to the global rule of activation. As a remedy of the...

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Detalles Bibliográficos
Autores principales: Min, Byungjoon, Zheng, Muhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905981/
https://www.ncbi.nlm.nih.gov/pubmed/29668730
http://dx.doi.org/10.1371/journal.pone.0195539
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author Min, Byungjoon
Zheng, Muhua
author_facet Min, Byungjoon
Zheng, Muhua
author_sort Min, Byungjoon
collection PubMed
description Networks in nature rarely function in isolation but instead interact with one another with a form of a network of networks (NoN). A network of networks with interdependency between distinct networks contains instability of abrupt collapse related to the global rule of activation. As a remedy of the collapse instability, here we investigate a model of correlated NoN. We find that the collapse instability can be removed when hubs provide the majority of interconnections and interconnections are convergent between hubs. Thus, our study identifies a stable structure of correlated NoN against catastrophic failures. Our result further suggests a plausible way to enhance network robustness by manipulating connection patterns, along with other methods such as controlling the state of node based on a local rule.
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spelling pubmed-59059812018-05-06 Correlated network of networks enhances robustness against catastrophic failures Min, Byungjoon Zheng, Muhua PLoS One Research Article Networks in nature rarely function in isolation but instead interact with one another with a form of a network of networks (NoN). A network of networks with interdependency between distinct networks contains instability of abrupt collapse related to the global rule of activation. As a remedy of the collapse instability, here we investigate a model of correlated NoN. We find that the collapse instability can be removed when hubs provide the majority of interconnections and interconnections are convergent between hubs. Thus, our study identifies a stable structure of correlated NoN against catastrophic failures. Our result further suggests a plausible way to enhance network robustness by manipulating connection patterns, along with other methods such as controlling the state of node based on a local rule. Public Library of Science 2018-04-18 /pmc/articles/PMC5905981/ /pubmed/29668730 http://dx.doi.org/10.1371/journal.pone.0195539 Text en © 2018 Min, Zheng http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Min, Byungjoon
Zheng, Muhua
Correlated network of networks enhances robustness against catastrophic failures
title Correlated network of networks enhances robustness against catastrophic failures
title_full Correlated network of networks enhances robustness against catastrophic failures
title_fullStr Correlated network of networks enhances robustness against catastrophic failures
title_full_unstemmed Correlated network of networks enhances robustness against catastrophic failures
title_short Correlated network of networks enhances robustness against catastrophic failures
title_sort correlated network of networks enhances robustness against catastrophic failures
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905981/
https://www.ncbi.nlm.nih.gov/pubmed/29668730
http://dx.doi.org/10.1371/journal.pone.0195539
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