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Cooperative spreading processes in multiplex networks

This study is concerned with the dynamic behaviors of epidemic spreading in multiplex networks. A model composed of two interacting complex networks is proposed to describe cooperative spreading processes, wherein the virus spreading in one layer can penetrate into the other to promote the spreading...

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Detalles Bibliográficos
Autores principales: Wei, Xiang, Chen, Shihua, Wu, Xiaoqun, Ning, Di, Lu, Jun-an
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AIP Publishing LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112487/
https://www.ncbi.nlm.nih.gov/pubmed/27368800
http://dx.doi.org/10.1063/1.4952964
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author Wei, Xiang
Chen, Shihua
Wu, Xiaoqun
Ning, Di
Lu, Jun-an
author_facet Wei, Xiang
Chen, Shihua
Wu, Xiaoqun
Ning, Di
Lu, Jun-an
author_sort Wei, Xiang
collection PubMed
description This study is concerned with the dynamic behaviors of epidemic spreading in multiplex networks. A model composed of two interacting complex networks is proposed to describe cooperative spreading processes, wherein the virus spreading in one layer can penetrate into the other to promote the spreading process. The global epidemic threshold of the model is smaller than the epidemic thresholds of the corresponding isolated networks. Thus, global epidemic onset arises in the interacting networks even though an epidemic onset does not arise in each isolated network. Simulations verify the analysis results and indicate that cooperative spreading processes in multiplex networks enhance the final infection fraction.
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spelling pubmed-71124872020-04-02 Cooperative spreading processes in multiplex networks Wei, Xiang Chen, Shihua Wu, Xiaoqun Ning, Di Lu, Jun-an Chaos Focus Issue: Complex Dynamics in Networks, Multilayered Structures and Systems This study is concerned with the dynamic behaviors of epidemic spreading in multiplex networks. A model composed of two interacting complex networks is proposed to describe cooperative spreading processes, wherein the virus spreading in one layer can penetrate into the other to promote the spreading process. The global epidemic threshold of the model is smaller than the epidemic thresholds of the corresponding isolated networks. Thus, global epidemic onset arises in the interacting networks even though an epidemic onset does not arise in each isolated network. Simulations verify the analysis results and indicate that cooperative spreading processes in multiplex networks enhance the final infection fraction. AIP Publishing LLC 2016-06 2016-06-14 /pmc/articles/PMC7112487/ /pubmed/27368800 http://dx.doi.org/10.1063/1.4952964 Text en © 2016 Author(s) Published by AIP Publishing. 1054-1500/2016/26(6)/065311/7/$30.00 All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).
spellingShingle Focus Issue: Complex Dynamics in Networks, Multilayered Structures and Systems
Wei, Xiang
Chen, Shihua
Wu, Xiaoqun
Ning, Di
Lu, Jun-an
Cooperative spreading processes in multiplex networks
title Cooperative spreading processes in multiplex networks
title_full Cooperative spreading processes in multiplex networks
title_fullStr Cooperative spreading processes in multiplex networks
title_full_unstemmed Cooperative spreading processes in multiplex networks
title_short Cooperative spreading processes in multiplex networks
title_sort cooperative spreading processes in multiplex networks
topic Focus Issue: Complex Dynamics in Networks, Multilayered Structures and Systems
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112487/
https://www.ncbi.nlm.nih.gov/pubmed/27368800
http://dx.doi.org/10.1063/1.4952964
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