Epidemic thresholds of the susceptible-infected-susceptible model on networks: a comparison of numerical and theoretical results
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | https://doi.org/10.1103/PhysRevE.86.041125 http://www.locus.ufv.br/handle/123456789/13256 |
Resumo: | Recent work has shown that different theoretical approaches to the dynamics of the susceptible-infected-susceptible (SIS) model for epidemics lead to qualitatively different estimates for the position of the epidemic threshold in networks. Here we present large-scale numerical simulations of the SIS dynamics on various types of networks, allowing the precise determination of the effective threshold for systems of finite size N. We compare quantitatively the numerical thresholds with theoretical predictions of the heterogeneous mean-field theory and of the quenched mean-field theory. We show that the latter is in general more accurate, scaling with N with the correct exponent, but often failing to capture the correct prefactor |
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Ferreira, Silvio C.Castellano, ClaudioPastor-Satorras, Romualdo2017-11-17T18:30:19Z2017-11-17T18:30:19Z2012-10-1524700053https://doi.org/10.1103/PhysRevE.86.041125http://www.locus.ufv.br/handle/123456789/13256Recent work has shown that different theoretical approaches to the dynamics of the susceptible-infected-susceptible (SIS) model for epidemics lead to qualitatively different estimates for the position of the epidemic threshold in networks. Here we present large-scale numerical simulations of the SIS dynamics on various types of networks, allowing the precise determination of the effective threshold for systems of finite size N. We compare quantitatively the numerical thresholds with theoretical predictions of the heterogeneous mean-field theory and of the quenched mean-field theory. We show that the latter is in general more accurate, scaling with N with the correct exponent, but often failing to capture the correct prefactorengPhysical Review E86: 4, 041125(08), October 2012Susceptible modelEpidemicInfectionNetworksEpidemic thresholds of the susceptible-infected-susceptible model on networks: a comparison of numerical and theoretical resultsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALsisqs.pdfsisqs.pdftexto completoapplication/pdf419902https://locus.ufv.br//bitstream/123456789/13256/1/sisqs.pdf3884b19e439f7108ee27c139ddfb959cMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/13256/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILsisqs.pdf.jpgsisqs.pdf.jpgIM Thumbnailimage/jpeg5274https://locus.ufv.br//bitstream/123456789/13256/3/sisqs.pdf.jpgf0c7d1a20bd0ea925296de5e75e00fe6MD53123456789/132562017-11-17 22:00:27.344oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452017-11-18T01:00:27LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.en.fl_str_mv |
Epidemic thresholds of the susceptible-infected-susceptible model on networks: a comparison of numerical and theoretical results |
title |
Epidemic thresholds of the susceptible-infected-susceptible model on networks: a comparison of numerical and theoretical results |
spellingShingle |
Epidemic thresholds of the susceptible-infected-susceptible model on networks: a comparison of numerical and theoretical results Ferreira, Silvio C. Susceptible model Epidemic Infection Networks |
title_short |
Epidemic thresholds of the susceptible-infected-susceptible model on networks: a comparison of numerical and theoretical results |
title_full |
Epidemic thresholds of the susceptible-infected-susceptible model on networks: a comparison of numerical and theoretical results |
title_fullStr |
Epidemic thresholds of the susceptible-infected-susceptible model on networks: a comparison of numerical and theoretical results |
title_full_unstemmed |
Epidemic thresholds of the susceptible-infected-susceptible model on networks: a comparison of numerical and theoretical results |
title_sort |
Epidemic thresholds of the susceptible-infected-susceptible model on networks: a comparison of numerical and theoretical results |
author |
Ferreira, Silvio C. |
author_facet |
Ferreira, Silvio C. Castellano, Claudio Pastor-Satorras, Romualdo |
author_role |
author |
author2 |
Castellano, Claudio Pastor-Satorras, Romualdo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ferreira, Silvio C. Castellano, Claudio Pastor-Satorras, Romualdo |
dc.subject.pt-BR.fl_str_mv |
Susceptible model Epidemic Infection Networks |
topic |
Susceptible model Epidemic Infection Networks |
description |
Recent work has shown that different theoretical approaches to the dynamics of the susceptible-infected-susceptible (SIS) model for epidemics lead to qualitatively different estimates for the position of the epidemic threshold in networks. Here we present large-scale numerical simulations of the SIS dynamics on various types of networks, allowing the precise determination of the effective threshold for systems of finite size N. We compare quantitatively the numerical thresholds with theoretical predictions of the heterogeneous mean-field theory and of the quenched mean-field theory. We show that the latter is in general more accurate, scaling with N with the correct exponent, but often failing to capture the correct prefactor |
publishDate |
2012 |
dc.date.issued.fl_str_mv |
2012-10-15 |
dc.date.accessioned.fl_str_mv |
2017-11-17T18:30:19Z |
dc.date.available.fl_str_mv |
2017-11-17T18:30:19Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.1103/PhysRevE.86.041125 http://www.locus.ufv.br/handle/123456789/13256 |
dc.identifier.issn.none.fl_str_mv |
24700053 |
identifier_str_mv |
24700053 |
url |
https://doi.org/10.1103/PhysRevE.86.041125 http://www.locus.ufv.br/handle/123456789/13256 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.pt-BR.fl_str_mv |
86: 4, 041125(08), October 2012 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Physical Review E |
publisher.none.fl_str_mv |
Physical Review E |
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LOCUS Repositório Institucional da UFV |
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