[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.
