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[00511] Metapopulation network models explain non-Poissonian statistics of intercontact times

  • Session Time & Room : 5C (Aug.25, 13:20-15:00) @G302
  • Type : Contributed Talk
  • Abstract : Intercontact times in empirical data obtained from humans and animals typically obey heavy-tailed distributions as opposed to exponential distributions that would correspond to Poisson processes. We show that this phenomenon is a mathematical property of a most basic metapopulation network model used in epidemiology and ecology modeling, in which individuals move from a patch to another according to the simple or other types of random walks. Our results hold true for any network structure.
  • Classification : 05C82, 60K20
  • Format : Talk at Waseda University
  • Author(s) :
    • Elohim Fonseca dos Reis (State University of New York at Buffalo)
    • Naoki Masuda (State University of New York at Buffalo)