Epidemic threshold in structured scale-free networks

dc.creatorEguiluz, Victor M.
dc.creatorKlemm, Konstantin
dc.date2002-05-21
dc.date.accessioned2026-07-07T08:31:12Z
dc.date.available2026-07-07T08:31:12Z
dc.descriptionWe analyze the spreading of viruses in scale-free networks with high clustering and degree correlations, as found in the Internet graph. For the Suscetible-Infected-Susceptible model of epidemics the prevalence undergoes a phase transition at a finite threshold of the transmission probability. Comparing with the absence of a finite threshold in networks with purely random wiring, our result suggests that high clustering and degree correlations protect scale-free networks against the spreading of viruses. We introduce and verify a quantitative description of the epidemic threshold based on the connectivity of the neighborhoods of the hubs.
dc.description4 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0205439
dc.identifierhttp://arxiv.org/abs/cond-mat/0205439
dc.identifierPhys. Rev. Lett. 89, 108701 (2002)
dc.identifierdoi:10.1103/PhysRevLett.89.108701
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/138440
dc.subjectCondensed Matter
dc.subjectQuantitative Biology
dc.titleEpidemic threshold in structured scale-free networks
dc.typetext

Files

Collections