Nature of the Epidemic Threshold for the Susceptible-Infected-Susceptible Dynamics in Networks


Autoria(s): Boguñá, Marián; Castellano, Claudio; Pastor-Satorras, R. (Romualdo), 1967-
Contribuinte(s)

Universitat de Barcelona

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

http://hdl.handle.net/2445/53287

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