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

dc.creatorMata, Angélica S.
dc.creatorFerreira, Silvio C.
dc.date2018-05-09T16:44:30Z
dc.date2018-05-09T16:44:30Z
dc.date2015-01-22
dc.date.accessioned2023-09-27T21:00:18Z
dc.date.available2023-09-27T21:00:18Z
dc.identifier2470-0053
dc.identifierhttps://doi.org/10.1103/PhysRevE.91.012816
dc.identifierhttp://www.locus.ufv.br/handle/123456789/19421
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8952643
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.
dc.formatpdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherPhysical Review E
dc.relationVolume 91, Issue 1, january 2015
dc.rightsAmerican Physical Society
dc.subjectMultiple transitions
dc.subjectSusceptible-infected
dc.subjectSusceptible epidemic
dc.subjectComplex networks
dc.titleMultiple transitions of the susceptible-infected-susceptible epidemic model on complex networks
dc.typeArtigo


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