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Epidemic spreading with activity-driven awareness diffusion on multiplex network

There has been growing interest in exploring the interplay between epidemic spreading with human response, since it is natural for people to take various measures when they become aware of epidemics. As a proper way to describe the multiple connections among people in reality, multiplex network, a s...

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Detalles Bibliográficos
Autores principales: Guo, Quantong, Lei, Yanjun, Jiang, Xin, Ma, Yifang, Huo, Guanying, Zheng, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AIP Publishing LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112485/
https://www.ncbi.nlm.nih.gov/pubmed/27131489
http://dx.doi.org/10.1063/1.4947420
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author Guo, Quantong
Lei, Yanjun
Jiang, Xin
Ma, Yifang
Huo, Guanying
Zheng, Zhiming
author_facet Guo, Quantong
Lei, Yanjun
Jiang, Xin
Ma, Yifang
Huo, Guanying
Zheng, Zhiming
author_sort Guo, Quantong
collection PubMed
description There has been growing interest in exploring the interplay between epidemic spreading with human response, since it is natural for people to take various measures when they become aware of epidemics. As a proper way to describe the multiple connections among people in reality, multiplex network, a set of nodes interacting through multiple sets of edges, has attracted much attention. In this paper, to explore the coupled dynamical processes, a multiplex network with two layers is built. Specifically, the information spreading layer is a time varying network generated by the activity driven model, while the contagion layer is a static network. We extend the microscopic Markov chain approach to derive the epidemic threshold of the model. Compared with extensive Monte Carlo simulations, the method shows high accuracy for the prediction of the epidemic threshold. Besides, taking different spreading models of awareness into consideration, we explored the interplay between epidemic spreading with awareness spreading. The results show that the awareness spreading can not only enhance the epidemic threshold but also reduce the prevalence of epidemics. When the spreading of awareness is defined as susceptible-infected-susceptible model, there exists a critical value where the dynamical process on the awareness layer can control the onset of epidemics; while if it is a threshold model, the epidemic threshold emerges an abrupt transition with the local awareness ratio α approximating 0.5. Moreover, we also find that temporal changes in the topology hinder the spread of awareness which directly affect the epidemic threshold, especially when the awareness layer is threshold model. Given that the threshold model is a widely used model for social contagion, this is an important and meaningful result. Our results could also lead to interesting future research about the different time-scales of structural changes in multiplex networks.
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spelling pubmed-71124852020-04-02 Epidemic spreading with activity-driven awareness diffusion on multiplex network Guo, Quantong Lei, Yanjun Jiang, Xin Ma, Yifang Huo, Guanying Zheng, Zhiming Chaos Regular Articles There has been growing interest in exploring the interplay between epidemic spreading with human response, since it is natural for people to take various measures when they become aware of epidemics. As a proper way to describe the multiple connections among people in reality, multiplex network, a set of nodes interacting through multiple sets of edges, has attracted much attention. In this paper, to explore the coupled dynamical processes, a multiplex network with two layers is built. Specifically, the information spreading layer is a time varying network generated by the activity driven model, while the contagion layer is a static network. We extend the microscopic Markov chain approach to derive the epidemic threshold of the model. Compared with extensive Monte Carlo simulations, the method shows high accuracy for the prediction of the epidemic threshold. Besides, taking different spreading models of awareness into consideration, we explored the interplay between epidemic spreading with awareness spreading. The results show that the awareness spreading can not only enhance the epidemic threshold but also reduce the prevalence of epidemics. When the spreading of awareness is defined as susceptible-infected-susceptible model, there exists a critical value where the dynamical process on the awareness layer can control the onset of epidemics; while if it is a threshold model, the epidemic threshold emerges an abrupt transition with the local awareness ratio α approximating 0.5. Moreover, we also find that temporal changes in the topology hinder the spread of awareness which directly affect the epidemic threshold, especially when the awareness layer is threshold model. Given that the threshold model is a widely used model for social contagion, this is an important and meaningful result. Our results could also lead to interesting future research about the different time-scales of structural changes in multiplex networks. AIP Publishing LLC 2016-04 2016-04-21 /pmc/articles/PMC7112485/ /pubmed/27131489 http://dx.doi.org/10.1063/1.4947420 Text en © 2016 Author(s) Published by AIP Publishing. 1054-1500/2016/26(4)/043110/10/$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 Regular Articles
Guo, Quantong
Lei, Yanjun
Jiang, Xin
Ma, Yifang
Huo, Guanying
Zheng, Zhiming
Epidemic spreading with activity-driven awareness diffusion on multiplex network
title Epidemic spreading with activity-driven awareness diffusion on multiplex network
title_full Epidemic spreading with activity-driven awareness diffusion on multiplex network
title_fullStr Epidemic spreading with activity-driven awareness diffusion on multiplex network
title_full_unstemmed Epidemic spreading with activity-driven awareness diffusion on multiplex network
title_short Epidemic spreading with activity-driven awareness diffusion on multiplex network
title_sort epidemic spreading with activity-driven awareness diffusion on multiplex network
topic Regular Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112485/
https://www.ncbi.nlm.nih.gov/pubmed/27131489
http://dx.doi.org/10.1063/1.4947420
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