Epidemics and Dimensionality in Hierarchical Networks

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dc.creatorZheng, Dafang
dc.creatorHui, P. M.
dc.creatorTrimper, Steffen
dc.creatorZheng, Bo
dc.date2003-08-25
dc.date2004-11-23
dc.date.accessioned2026-07-07T09:46:13Z
dc.date.available2026-07-07T09:46:13Z
dc.descriptionEpidemiological processes are studied within a recently proposed hierarchical network model using the susceptible-infected-refractory dynamics of an epidemic. Within the network model, a population may be characterized by $H$ independent hierarchies or dimensions, each of which consists of groupings of individuals into layers of subgroups. Detailed numerical simulations reveal that for $H>1$, global spreading results regardless of the degree of homophily of the individuals forming a social circle. For H=1, a transition from global to local spread occurs as the population becomes decomposed into increasingly homophilous groups. Multiple dimensions in classifying individuals (nodes) thus make a society (computer network) highly susceptible to large scale outbreaks of infectious diseases (viruses).
dc.description10 pages, Revtex, 4 figures, corrected references
dc.identifierhttps://arxiv.org/abs/cond-mat/0308502
dc.identifierhttp://arxiv.org/abs/cond-mat/0308502
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/163454
dc.subjectDisordered Systems and Neural Networks
dc.subjectPopulations and Evolution
dc.titleEpidemics and Dimensionality in Hierarchical Networks
dc.typetext

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