We investigate an opinion dynamics model with continuously defined affinities and opinions. We focus here on the effects of the social network’s topology on the dynamical evolution and on the scale properties of the model measured through numerical simulations and fittings. We study different network topologies through a set of statistical network measures, namely mean path, mean degree and clustering. We observe that the model’s dynamics eventually leads to a uniformization of the different topologies.
How Opinion Dynamics Shapes Social Networks Topology / Righi, Simone; Carletti, Timoteo. - (2009), pp. 1-10. (Intervento presentato al convegno Conference of the Italian Association for Artificial Intelligence tenutosi a Reggio Emilia nel 2009).
How Opinion Dynamics Shapes Social Networks Topology
RIGHI, SIMONE;
2009
Abstract
We investigate an opinion dynamics model with continuously defined affinities and opinions. We focus here on the effects of the social network’s topology on the dynamical evolution and on the scale properties of the model measured through numerical simulations and fittings. We study different network topologies through a set of statistical network measures, namely mean path, mean degree and clustering. We observe that the model’s dynamics eventually leads to a uniformization of the different topologies.
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