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Epidemics in Interconnected Small-World Networks

Networks can be used to describe the interconnections among individuals, which play an important role in the spread of disease. Although the small-world effect has been found to have a significant impact on epidemics in single networks, the small-world effect on epidemics in interconnected networks...

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Detalles Bibliográficos
Autores principales: Liu, Meng, Li, Daqing, Qin, Pengju, Liu, Chaoran, Wang, Huijuan, Wang, Feilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370840/
https://www.ncbi.nlm.nih.gov/pubmed/25799143
http://dx.doi.org/10.1371/journal.pone.0120701
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author Liu, Meng
Li, Daqing
Qin, Pengju
Liu, Chaoran
Wang, Huijuan
Wang, Feilong
author_facet Liu, Meng
Li, Daqing
Qin, Pengju
Liu, Chaoran
Wang, Huijuan
Wang, Feilong
author_sort Liu, Meng
collection PubMed
description Networks can be used to describe the interconnections among individuals, which play an important role in the spread of disease. Although the small-world effect has been found to have a significant impact on epidemics in single networks, the small-world effect on epidemics in interconnected networks has rarely been considered. Here, we study the susceptible-infected-susceptible (SIS) model of epidemic spreading in a system comprising two interconnected small-world networks. We find that the epidemic threshold in such networks decreases when the rewiring probability of the component small-world networks increases. When the infection rate is low, the rewiring probability affects the global steady-state infection density, whereas when the infection rate is high, the infection density is insensitive to the rewiring probability. Moreover, epidemics in interconnected small-world networks are found to spread at different velocities that depend on the rewiring probability.
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spelling pubmed-43708402015-04-04 Epidemics in Interconnected Small-World Networks Liu, Meng Li, Daqing Qin, Pengju Liu, Chaoran Wang, Huijuan Wang, Feilong PLoS One Research Article Networks can be used to describe the interconnections among individuals, which play an important role in the spread of disease. Although the small-world effect has been found to have a significant impact on epidemics in single networks, the small-world effect on epidemics in interconnected networks has rarely been considered. Here, we study the susceptible-infected-susceptible (SIS) model of epidemic spreading in a system comprising two interconnected small-world networks. We find that the epidemic threshold in such networks decreases when the rewiring probability of the component small-world networks increases. When the infection rate is low, the rewiring probability affects the global steady-state infection density, whereas when the infection rate is high, the infection density is insensitive to the rewiring probability. Moreover, epidemics in interconnected small-world networks are found to spread at different velocities that depend on the rewiring probability. Public Library of Science 2015-03-23 /pmc/articles/PMC4370840/ /pubmed/25799143 http://dx.doi.org/10.1371/journal.pone.0120701 Text en © 2015 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Liu, Meng
Li, Daqing
Qin, Pengju
Liu, Chaoran
Wang, Huijuan
Wang, Feilong
Epidemics in Interconnected Small-World Networks
title Epidemics in Interconnected Small-World Networks
title_full Epidemics in Interconnected Small-World Networks
title_fullStr Epidemics in Interconnected Small-World Networks
title_full_unstemmed Epidemics in Interconnected Small-World Networks
title_short Epidemics in Interconnected Small-World Networks
title_sort epidemics in interconnected small-world networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370840/
https://www.ncbi.nlm.nih.gov/pubmed/25799143
http://dx.doi.org/10.1371/journal.pone.0120701
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