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.

Righi, S., Carletti, T. (2009). How Opinion Dynamics Shapes Social Networks Topology.

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.
2009
Proceedings of AI*IA Conference (Italian Association for artificial Intelligence)
1
10
Righi, S., Carletti, T. (2009). How Opinion Dynamics Shapes Social Networks Topology.
Righi, Simone; Carletti, Timoteo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/579764
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