TY - JOUR

T1 - Consensus in the two-state Axelrod model

AU - Lanchier, Nicolas

AU - Schweinsberg, Jason

N1 - Funding Information:
The authors thank two referees for helpful comments on a previous draft of this paper. The first author’s research was supported in part by NSF Grant DMS-10-05282 . The second author’s research was supported in part by NSF Grant DMS-08-05472 .

PY - 2012/11

Y1 - 2012/11

N2 - 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.

AB - 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.

KW - Annihilating random walks

KW - Axelrod model

KW - Interacting particle systems

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U2 - 10.1016/j.spa.2012.06.010

DO - 10.1016/j.spa.2012.06.010

M3 - Article

AN - SCOPUS:84864813857

SN - 0304-4149

VL - 122

SP - 3701

EP - 3717

JO - Stochastic Processes and their Applications

JF - Stochastic Processes and their Applications

IS - 11

ER -