Mobility and Information Flow: Percolation in a Multi-Agent Model

Abstract : In real world situations, each person is generally in contact with only a small fraction of the entire population and exchange information through these interactions. Their number and their frequency vary from one to another individual and may be much depending on mobility of individuals. The objective of this article is to better understand how human mobility may have an impact on mobile social networking systems. This should help to answer a question as: "How might an information, a rumor, a pathogen, etc., driven by physical proximity, spread through a population?". We present a first stage of our work in which we focus on percolation processes as information flow mechanisms. We propose a synthetic mobility model and we define an artificial world populated by heterogeneous agents who differ in their mobility. Simulations are conducted on a multi-agent programmable environment. Our experimental results clearly demonstrate positive correlations between agent mobility factors and percolation thresholds.
Type de document :
Article dans une revue
Procedia CS, 2012, 10, pp.22-29. <10.1016/j.procs.2012.06.007>
Contributeur : Erick Stattner <>
Soumis le : mercredi 19 décembre 2012 - 13:53:29
Dernière modification le : lundi 21 mars 2016 - 17:31:26




Martine Collard, Philippe Collard, Erick Stattner. Mobility and Information Flow: Percolation in a Multi-Agent Model. Procedia CS, 2012, 10, pp.22-29. <10.1016/j.procs.2012.06.007>. <hal-00767043>



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