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Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Sep;74(3):036110. doi: 10.1103/PhysRevE.74.036110. Epub 2006 Sep 21.

Dynamical network model of infective mobile agents.

Physical review. E, Statistical, nonlinear, and soft matter physics

Mattia Frasca, Arturo Buscarino, Alessandro Rizzo, Luigi Fortuna, Stefano Boccaletti

Affiliations

  1. Dipartimento di Ingegneria Elettrica Elettronica e dei Sistemi, Università degli Studi di Catania, viale A. Doria 6, 95125 Catania, Italy. [email protected]

PMID: 17025711 DOI: 10.1103/PhysRevE.74.036110

Abstract

A dynamical network (consisting of a time-evolving wiring of interactions among a group of random walkers) is introduced to model the spread of an infectious disease in a population of mobile individuals. We investigate the main properties of this model, and show that peculiar features arise when individuals are allowed to perform long-distance jumps. Such peculiarities are captured and conveniently quantified by a series of appropriate parameters able to highlight the structural differences emerging in the networks when long-distance jumps are combined with local random walk processes.

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