Ranking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic

Abstract The prevalence, which is the average fraction of infected nodes, has been studied to evaluate the robustness of a network subject to the spread of epidemics. We explore the vulnerability (infection probability) of each node in the metastable state with a given effective infection rate τ. Sp...

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Autores principales:	Bo Qu, Cong Li, Piet Van Mieghem, Huijuan Wang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/44d06796e4d447eea1ba98ed78643336
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spelling	oai:doaj.org-article:44d06796e4d447eea1ba98ed786433362021-12-02T11:50:55ZRanking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic10.1038/s41598-017-08611-92045-2322https://doaj.org/article/44d06796e4d447eea1ba98ed786433362017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08611-9https://doaj.org/toc/2045-2322Abstract The prevalence, which is the average fraction of infected nodes, has been studied to evaluate the robustness of a network subject to the spread of epidemics. We explore the vulnerability (infection probability) of each node in the metastable state with a given effective infection rate τ. Specifically, we investigate the ranking of the nodal vulnerability subject to a susceptible-infected-susceptible epidemic, motivated by the fact that the ranking can be crucial for a network operator to assess which nodes are more vulnerable. Via both theoretical and numerical approaches, we unveil that the ranking of nodal vulnerability tends to change more significantly as τ varies when τ is smaller or in Barabási-Albert than Erdős-Rényi random graphs.Bo QuCong LiPiet Van MieghemHuijuan WangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bo Qu Cong Li Piet Van Mieghem Huijuan Wang Ranking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic
description	Abstract The prevalence, which is the average fraction of infected nodes, has been studied to evaluate the robustness of a network subject to the spread of epidemics. We explore the vulnerability (infection probability) of each node in the metastable state with a given effective infection rate τ. Specifically, we investigate the ranking of the nodal vulnerability subject to a susceptible-infected-susceptible epidemic, motivated by the fact that the ranking can be crucial for a network operator to assess which nodes are more vulnerable. Via both theoretical and numerical approaches, we unveil that the ranking of nodal vulnerability tends to change more significantly as τ varies when τ is smaller or in Barabási-Albert than Erdős-Rényi random graphs.
format	article
author	Bo Qu Cong Li Piet Van Mieghem Huijuan Wang
author_facet	Bo Qu Cong Li Piet Van Mieghem Huijuan Wang
author_sort	Bo Qu
title	Ranking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic
title_short	Ranking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic
title_full	Ranking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic
title_fullStr	Ranking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic
title_full_unstemmed	Ranking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic
title_sort	ranking of nodal infection probability in susceptible-infected-susceptible epidemic
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/44d06796e4d447eea1ba98ed78643336
work_keys_str_mv	AT boqu rankingofnodalinfectionprobabilityinsusceptibleinfectedsusceptibleepidemic AT congli rankingofnodalinfectionprobabilityinsusceptibleinfectedsusceptibleepidemic AT pietvanmieghem rankingofnodalinfectionprobabilityinsusceptibleinfectedsusceptibleepidemic AT huijuanwang rankingofnodalinfectionprobabilityinsusceptibleinfectedsusceptibleepidemic
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Ranking of Nodal Infection Probability in Susceptible-Infected-Susceptible Epidemic

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