Mean-field analysis of the q-voter model on networks

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/125726

dc.contributor	Universitat Politècnica de Catalunya. Departament de Física
dc.contributor	Universitat Politècnica de Catalunya. SIMCON - First-principles approaches to condensed matter physics: quantum effects and complexity
dc.contributor.author	Moretti, Paolo
dc.contributor.author	Liu, Suyu
dc.contributor.author	Castellano, Claudio
dc.contributor.author	Pastor Satorras, Romualdo
dc.date	2013-04-01
dc.identifier.citation	Moretti, P., Liu, S., Castellano, C., Pastor-Satorras, R. Mean-field analysis of the q-voter model on networks. "Journal of statistical physics", 1 Abril 2013, vol. 151, núm. 1-2, p. 113-130.
dc.identifier.citation	0022-4715
dc.identifier.citation	10.1007/s10955-013-0704-1
dc.identifier.uri	http://hdl.handle.net/2117/125726
dc.language.iso	eng
dc.relation	https://link.springer.com/article/10.1007%2Fs10955-013-0704-1
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Física
dc.subject	Nonlinear theories
dc.subject	Opinion dynamics
dc.subject	Social dynamics
dc.subject	Voter model
dc.subject	Teories no lineals
dc.title	Mean-field analysis of the q-voter model on networks
dc.type	info:eu-repo/semantics/submittedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	We present a detailed investigation of the behavior of the nonlinear q-voter model for opinion dynamics. At the mean-field level we derive analytically, for any value of the number q of agents involved in the elementary update, the phase diagram, the exit probability and the consensus time at the transition point. The mean-field formalism is extended to the case that the interaction pattern is given by generic heterogeneous networks. We finally discuss the case of random regular networks and compare analytical results with simulations.

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