Nature of the epidemic threshold for the susceptible-infected-susceptible dynamics in networks (Articolo in rivista)

Type
Label
  • Nature of the epidemic threshold for the susceptible-infected-susceptible dynamics in networks (Articolo in rivista) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1103/PhysRevLett.111.068701 (literal)
Alternative label
  • Marian Boguñá (1); Claudio Castellano (2,3); Romualdo Pastor-Satorras (4) (2013)
    Nature of the epidemic threshold for the susceptible-infected-susceptible dynamics in networks
    in Physical review letters (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Marian Boguñá (1); Claudio Castellano (2,3); Romualdo Pastor-Satorras (4) (literal)
Pagina inizio
  • art_n_068701 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://prl.aps.org/abstract/PRL/v111/i6/e068701 (literal)
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  • 111 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 5 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 6 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • (1) Departament de Física Fonamental, Universitat de Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain (2) Istituto dei Sistemi Complessi (ISC-CNR), via dei Taurini 19, I-00185 Roma, Italy (3) Dipartimento di Fisica, \"Sapienza\" Università di Roma, Piazzale Aldo Moro 2, I-00185 Roma, Italy (4) Departament de Física i Enginyeria Nuclear, Universitat Politècnica de Catalunya, Campus Nord B4, 08034 Barcelona, Spain (literal)
Titolo
  • Nature of the epidemic threshold for the susceptible-infected-susceptible dynamics in networks (literal)
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. (literal)
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