Multiple phase transitions of the susceptible-infected-susceptible epidemic model on complex networks

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorMata, Angélica S.-
Autor(es): dc.creatorFerreira, Silvio C.-
Data de aceite: dc.date.accessioned2026-02-09T12:26:42Z-
Data de disponibilização: dc.date.available2026-02-09T12:26:42Z-
Data de envio: dc.date.issued2017-02-17-
Data de envio: dc.date.issued2017-02-17-
Data de envio: dc.date.issued2015-01-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/12305-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1161460-
Descrição: dc.descriptionThe epidemic threshold of the susceptible-infected-susceptible (SIS) dynamics on random networks having a power law degree distribution with exponent γ > 3 has been investigated using different mean-field approaches, which predict different outcomes. We performed extensive simulations in the quasistationary state for a comparison with these mean-field theories. We observed concomitant multiple transitions in individual networks presenting large gaps in the degree distribution and the obtained multiple epidemic thresholds are well described by different mean-field theories. We observed that the transitions involving thresholds which vanish at the thermodynamic limit involve localized states, in which a vanishing fraction of the network effectively contributes to epidemic activity, whereas an endemic state, with a finite density of infected vertices, occurs at a finite threshold. The multiple transitions are related to the activations of distinct subdomains of the network, which are not directly connected.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherAmerican Physical Society-
Direitos: dc.rightsacesso aberto-
???dc.source???: dc.sourcePhysical Review E-
Palavras-chave: dc.subjectMultiple phase transitions-
Palavras-chave: dc.subjectPopulations and evolution-
Título: dc.titleMultiple phase transitions of the susceptible-infected-susceptible epidemic model on complex networks-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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