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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-5905981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT minbyungjoon correlatednetworkofnetworksenhancesrobustnessagainstcatastrophicfailures AT zhengmuhua correlatednetworkofnetworksenhancesrobustnessagainstcatastrophicfailures |