Binary and multivariate stochastic models of consensus formation

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

Research output: Contribution to journalReview articlepeer-review

71 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

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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