Nature of the Epidemic Threshold for the Susceptible-Infected-Susceptible Dynamics in Networks
Contribuinte(s) |
Universitat de Barcelona |
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Resumo |
We develop an analytical approach to the susceptible-infected-susceptible epidemic model that allows us to unravel the true origin of the absence of an epidemic threshold in heterogeneous networks. We find that a delicate balance between the number of high degree nodes in the network and the topological distance between them dictates the existence or absence of such a threshold. In particular, small-world random networks with a degree distribution decaying slower than an exponential have a vanishing epidemic threshold in the thermodynamic limit. |
Identificador | |
Idioma(s) |
eng |
Publicador |
American Physical Society |
Direitos |
(c) American Physical Society, 2013 info:eu-repo/semantics/openAccess |
Palavras-Chave | #Epidemiologia #Internet #Xarxes socials #Xarxes neuronals (Neurobiologia) #Percolació (Física estadística) #Termodinàmica #Sistemes no lineals #Epidemiology #Internet #Social networks #Neural networks (Neurobiology) #Percolation (Statistical physics) #Thermodynamics #Nonlinear systems |
Tipo |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |