Consensus in the two-state Axelrod model

Nicolas Lanchier, Jason Schweinsberg

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

The Axelrod model is a spatial stochastic model for the dynamics of cultures which, similar to the voter model, includes social influence, but differs from the latter by also accounting for another social factor called homophily, the tendency to interact more frequently with individuals who are more similar. Each individual is characterized by its opinions about a finite number of cultural features, each of which can assume the same finite number of states. Pairs of adjacent individuals interact at a rate equal to the fraction of features they have in common, thus modeling homophily, which results in the interacting pair having one more cultural feature in common, thus modeling social influence. It has been conjectured based on numerical simulations that the one-dimensional Axelrod model clusters when the number of features exceeds the number of states per feature. In this article, we prove this conjecture for the two-state model with an arbitrary number of features.

Original languageEnglish (US)
Pages (from-to)3701-3717
Number of pages17
JournalStochastic Processes and their Applications
Volume122
Issue number11
DOIs
StatePublished - Nov 2012

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Social Influence
Stochastic models
Voter Model
Model
Spatial Model
One-dimensional Model
Modeling
Stochastic Model
Exceed
Adjacent
Computer simulation
Numerical Simulation
Arbitrary
Culture

Keywords

  • Annihilating random walks
  • Axelrod model
  • Interacting particle systems

ASJC Scopus subject areas

  • Modeling and Simulation
  • Statistics and Probability
  • Applied Mathematics

Cite this

Consensus in the two-state Axelrod model. / Lanchier, Nicolas; Schweinsberg, Jason.

In: Stochastic Processes and their Applications, Vol. 122, No. 11, 11.2012, p. 3701-3717.

Research output: Contribution to journalArticle

Lanchier, Nicolas ; Schweinsberg, Jason. / Consensus in the two-state Axelrod model. In: Stochastic Processes and their Applications. 2012 ; Vol. 122, No. 11. pp. 3701-3717.
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