How Opinion Dynamics Shapes Social Networks Topology

Simone Righi; Timoteo Carletti

How Opinion Dynamics Shapes Social Networks Topology

Research output: Contribution to conference › Paper › peer-review

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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 uniformisation of the different topologies.

Original language	English
Publication status	Published - 2009
Event	AIxIA 2009: International Conference on Artificial Intelligence - Reggio Emilia, Italie Duration: 9 Dec 2009 → …

Scientific committee

Scientific committee	AIxIA 2009: International Conference on Artificial Intelligence
City	Reggio Emilia, Italie
Period	9/12/09 → …

Keywords

complex network
social dynamics
scale free network

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69279Submitted manuscript, 215 KB

Dynamical systems meet social sciences : models of opinion dynamics.
Carletti, T. & RIGHI, S.
1/09/08 → …
Project: Research

AIxIA 2009: International Conference on Artificial Intelligence
Timoteo Carletti (Contributor)
9 Dec 2009 → 12 Dec 2009
Activity: Participating in or organising an event types › Participation in conference

Cite this

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title = "How Opinion Dynamics Shapes Social Networks Topology",

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 uniformisation of the different topologies.",

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T1 - How Opinion Dynamics Shapes Social Networks Topology

AU - Righi, Simone

AU - Carletti, Timoteo

PY - 2009

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N2 - 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 uniformisation of the different topologies.

AB - 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 uniformisation of the different topologies.

KW - complex network

KW - social dynamics

KW - scale free network

M3 - Paper

T2 - AIxIA 2009: International Conference on Artificial Intelligence

Y2 - 9 December 2009

ER -

How Opinion Dynamics Shapes Social Networks Topology

Abstract

Scientific committee

Keywords

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Projects

Dynamical systems meet social sciences : models of opinion dynamics.

Activities

AIxIA 2009: International Conference on Artificial Intelligence

Cite this