Effect of long-range interactions on the phase transition of Axelrod's model

TL;DR

This study investigates how long-range interactions influence the phase transition in Axelrod's cultural dissemination model, revealing a shift from continuous to discontinuous transitions and quantifying critical exponents through extensive simulations.

Contribution

It demonstrates that adding long-range links changes the phase transition from continuous to discontinuous and provides detailed critical exponents for both scenarios.

Findings

Critical exponent β ≈ 0.25 at the continuous transition

Introduction of long-range links causes a discontinuous transition

Critical point q_c^p increases with rewiring probability p

Abstract

Axelrod's model with $F=2$ cultural features, where each feature can assume $k$ states drawn from a Poisson distribution of parameter $q$, exhibits a continuous nonequilibrium phase transition in the square lattice. Here we use extensive Monte Carlo simulations and finite size scaling to study the critical behavior of the order parameter $\rho$, which is the fraction of sites that belong to the largest domain of an absorbing configuration averaged over many runs. We find that it vanishes as $\rho \sim \left (q_c^0 - q \right)^\beta$ with $\beta \approx 0.25$ at the critical point $q_c^0 \approx 3.10$ and that the exponent that measures the width of the critical region is $\nu^0 \approx 2.1$. In addition, we find that introduction of long-range links by rewiring the nearest-neighbors links of the square lattice with probability $p$ turns the transition discontinuous, with the critical point $q_c^p$ increasing from $3.1$ to $27.17$, approximately, as $p$ increases from $0$ to $1$. The sharpness of the threshold, as measured by the exponent $\nu^p \approx 1$ for $p>0$, increases with the square root of the number of nodes of the resulting small-world network.