2012
DOI: 10.1016/j.spa.2012.06.010
|View full text |Cite
|
Sign up to set email alerts
|

Consensus in the two-state Axelrod model

Abstract: The Axelrod model is a spatial stochastic model for the dynamics of cultures which, similarly 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 eq… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

1
30
0

Year Published

2013
2013
2022
2022

Publication Types

Select...
8

Relationship

3
5

Authors

Journals

citations
Cited by 20 publications
(31 citation statements)
references
References 6 publications
(9 reference statements)
1
30
0
Order By: Relevance
“…As Axelrod's model can be seen as F coupled voter models [9], most of the information we have on the behavior of the model in regular lattices was obtained us-ing Monte Carlo simulations of lattices of finite linear size L and then properly extrapolating the results to the thermodynamic limit L → ∞ within a well-established framework in statistical physics (see, e.g., [10]). Hence our surprise with the recent claim by Lanchier [11] (see also [12]) that in the particular case F = q = 2 of the one-dimensional system, which is isomorphic to the constrained voter model [13,14], the Monte Carlo simulations [15] yielded predictions that seemed to disagree with his analytical results, leading to the assertions that 'spatial simulations are usually difficult to interpret' and that 'there is a need for rigorous analytical results' [11]. In particular, whereas the Monte Carlo results indicate the presence of multicultural absorbing configurations in the thermodynamic limit, Lanchier's analysis shows that only the consensus configurations exist in that limit.…”
Section: Introductionmentioning
confidence: 79%
“…As Axelrod's model can be seen as F coupled voter models [9], most of the information we have on the behavior of the model in regular lattices was obtained us-ing Monte Carlo simulations of lattices of finite linear size L and then properly extrapolating the results to the thermodynamic limit L → ∞ within a well-established framework in statistical physics (see, e.g., [10]). Hence our surprise with the recent claim by Lanchier [11] (see also [12]) that in the particular case F = q = 2 of the one-dimensional system, which is isomorphic to the constrained voter model [13,14], the Monte Carlo simulations [15] yielded predictions that seemed to disagree with his analytical results, leading to the assertions that 'spatial simulations are usually difficult to interpret' and that 'there is a need for rigorous analytical results' [11]. In particular, whereas the Monte Carlo results indicate the presence of multicultural absorbing configurations in the thermodynamic limit, Lanchier's analysis shows that only the consensus configurations exist in that limit.…”
Section: Introductionmentioning
confidence: 79%
“…The analysis of the infinite system is more challenging. The first key to all our proofs is to use the formal machinery introduced in [13,15,17] that consists in keeping track of the disagreements along the edges of the spatial structure. This technique has also been used in [14,16] to study related models.…”
Section: Introductionmentioning
confidence: 99%
“…In this more general setting, the particles that keep track of the disagreements between neighbors again evolve like annihilating-coalescing random walks where active particles jump at rates that depend on the number of disagreements. The techniques we develop to study the generalized model requires active particles to all jump at the same rate, which is the case only when there are two [7,9] whereas the white dots represent the set of parameters for which fixation has been proved in [8].…”
Section: Introductionmentioning
confidence: 99%