Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/53287
Title: Nature of the Epidemic Threshold for the Susceptible-Infected-Susceptible Dynamics in Networks
Author: Boguñá, Marián
Castellano, Claudio
Pastor-Satorras, R. (Romualdo), 1967-
Keywords: 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
Issue Date: 2013
Publisher: American Physical Society
Abstract: 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.
Note: Reproducció del document publicat a: http://dx.doi.org/10.1103/PhysRevLett.111.068701
It is part of: Physical Review Letters, 2013, vol. 111, p. 068701-1-068701-5
Related resource: http://dx.doi.org/10.1103/PhysRevLett.111.068701
URI: http://hdl.handle.net/2445/53287
ISSN: 0031-9007
Appears in Collections:Articles publicats en revistes (Física de la Matèria Condensada)

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