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Crash dynamics of interdependent networks

The emergence and evolution of real-world systems have been extensively studied in the last few years. However, equally important phenomena are related to the dynamics of systems’ collapse, which has been less explored, especially when they can be cast into interdependent systems. In this paper, we...

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Detalles Bibliográficos
Autores principales: Li, Jie, Xia, Chengyi, Xiao, Gaoxi, Moreno, Yamir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787334/
https://www.ncbi.nlm.nih.gov/pubmed/31601907
http://dx.doi.org/10.1038/s41598-019-51030-1
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author Li, Jie
Xia, Chengyi
Xiao, Gaoxi
Moreno, Yamir
author_facet Li, Jie
Xia, Chengyi
Xiao, Gaoxi
Moreno, Yamir
author_sort Li, Jie
collection PubMed
description The emergence and evolution of real-world systems have been extensively studied in the last few years. However, equally important phenomena are related to the dynamics of systems’ collapse, which has been less explored, especially when they can be cast into interdependent systems. In this paper, we develop a dynamical model that allows scrutinizing the collapse of systems composed of two interdependent networks. Specifically, we explore the dynamics of the system’s collapse under two scenarios: in the first one, the condition for failure should be satisfied for the focal node as well as for its corresponding node in the other network; while in the second one, it is enough that failure of one of the nodes occurs in either of the two networks. We report extensive numerical simulations of the dynamics performed in different setups of interdependent networks, and analyze how the system behavior depends on the previous scenarios as well as on the topology of the interdependent system. Our results can provide valuable insights into the crashing dynamics and evolutionary properties of interdependent complex systems.
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spelling pubmed-67873342019-10-17 Crash dynamics of interdependent networks Li, Jie Xia, Chengyi Xiao, Gaoxi Moreno, Yamir Sci Rep Article The emergence and evolution of real-world systems have been extensively studied in the last few years. However, equally important phenomena are related to the dynamics of systems’ collapse, which has been less explored, especially when they can be cast into interdependent systems. In this paper, we develop a dynamical model that allows scrutinizing the collapse of systems composed of two interdependent networks. Specifically, we explore the dynamics of the system’s collapse under two scenarios: in the first one, the condition for failure should be satisfied for the focal node as well as for its corresponding node in the other network; while in the second one, it is enough that failure of one of the nodes occurs in either of the two networks. We report extensive numerical simulations of the dynamics performed in different setups of interdependent networks, and analyze how the system behavior depends on the previous scenarios as well as on the topology of the interdependent system. Our results can provide valuable insights into the crashing dynamics and evolutionary properties of interdependent complex systems. Nature Publishing Group UK 2019-10-10 /pmc/articles/PMC6787334/ /pubmed/31601907 http://dx.doi.org/10.1038/s41598-019-51030-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Li, Jie
Xia, Chengyi
Xiao, Gaoxi
Moreno, Yamir
Crash dynamics of interdependent networks
title Crash dynamics of interdependent networks
title_full Crash dynamics of interdependent networks
title_fullStr Crash dynamics of interdependent networks
title_full_unstemmed Crash dynamics of interdependent networks
title_short Crash dynamics of interdependent networks
title_sort crash dynamics of interdependent networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787334/
https://www.ncbi.nlm.nih.gov/pubmed/31601907
http://dx.doi.org/10.1038/s41598-019-51030-1
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