SIR dynamics in structured populations with heterogeneous connectivity

dc.creatorVolz, Erik
dc.date2005-08-22
dc.date2005-12-20
dc.date.accessioned2026-07-07T06:43:25Z
dc.date.available2026-07-07T06:43:25Z
dc.descriptionMost epidemic models assume equal mixing among members of a population. An alternative approach is to model a population as random network in which individuals may have heterogeneous connectivity. This paper builds on previous research by describing the exact dynamical behavior of epidemics as they occur in random networks. A system of nonlinear differential equations is presented which describes the behavior of epidemics spreading through random networks with arbitrary degree distributions. The degree distribution is observed to have significant impact on both the final size and time scale of epidemics.
dc.description16 pages, 4 figures, added 2 references, improved readability; added 1 reference, 1 paragraph, miscellaneous editing, corrected trajectory in figure 1
dc.identifierhttps://arxiv.org/abs/physics/0508160
dc.identifierhttp://arxiv.org/abs/physics/0508160
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/102405
dc.subjectPhysics and Society
dc.subjectDisordered Systems and Neural Networks
dc.subjectOther Condensed Matter
dc.subjectOther Quantitative Biology
dc.titleSIR dynamics in structured populations with heterogeneous connectivity
dc.typetext

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