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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 |
URI: | http://hdl.handle.net/2445/53287 |
Related resource: | http://dx.doi.org/10.1103/PhysRevLett.111.068701 |
ISSN: | 0031-9007 |
Appears in Collections: | Articles publicats en revistes (Física de la Matèria Condensada) |
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