Binary and multivariate stochastic models of consensus formation

Maxi San Miguel, Victor M. Eguíluz, Raul Toral, Konstantin Klemm

Research output: Contribution to journalArticle

66 Citations (Scopus)

Abstract

Binary and multivariate stochastic models of consensus formation are discussed. The voter model, which is the simplest model of collective behavior, is defined by a set of voters who have two opinions or spins at a network's nodes. The elementary dynamical step consists of randomly choosing a node and assigning it the opinion or spin value of one of its nearest neighbors, also chosen at random. This opinion-formation mechanism reflects the agents' complete lack of self-confidence and could be appropriate for describing processes of opinion formation in certain groups in which imitation is prevalent. Axelrod Model, in which order-disorder transition becomes system-size dependent, is also discussed.

Original languageEnglish
Pages (from-to)67-73
Number of pages7
JournalComputing in Science and Engineering
Volume7
Issue number6
DOIs
Publication statusPublished - Nov 2005
Externally publishedYes

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Stochastic models
Order disorder transitions

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Binary and multivariate stochastic models of consensus formation. / Miguel, Maxi San; Eguíluz, Victor M.; Toral, Raul; Klemm, Konstantin.

In: Computing in Science and Engineering, Vol. 7, No. 6, 11.2005, p. 67-73.

Research output: Contribution to journalArticle

Miguel, Maxi San ; Eguíluz, Victor M. ; Toral, Raul ; Klemm, Konstantin. / Binary and multivariate stochastic models of consensus formation. In: Computing in Science and Engineering. 2005 ; Vol. 7, No. 6. pp. 67-73.
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