Immunization of Real Complex Communication Networks

dc.creatorGomez-Gardenes, Jesus
dc.creatorEchenique, Pablo
dc.creatorMoreno, Yamir
dc.date2005-08-15
dc.date2006-01-19
dc.date.accessioned2026-07-07T06:43:24Z
dc.date.available2026-07-07T06:43:24Z
dc.descriptionMost communication networks are complex. In this paper, we address one of the fundamental problems we are facing nowadays, namely, how we can efficiently protect these networks. To this end, we study an immunization strategy and found that it works as good as targeted immunization, but using only local information about the network topology. Our findings are supported with numerical simulations of the Susceptible-Infected-Removed (SIR) model on top of real communication networks, where immune nodes are previously identified by a covering algorithm. The results provide useful hints in the way to design and deploying a digital immune system.
dc.description6 pages. To appear in the European Physical Journal B (2006)
dc.identifierhttps://arxiv.org/abs/physics/0508091
dc.identifierhttp://arxiv.org/abs/physics/0508091
dc.identifierEuropean Physical Journal B, 49, 259 (2006)
dc.identifierdoi:10.1140/epjb/e2006-00041-1
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/102399
dc.subjectPhysics and Society
dc.titleImmunization of Real Complex Communication Networks
dc.typetext

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