English

Ising model in scale-free networks: A Monte Carlo simulation

Statistical Mechanics 2009-11-10 v1

Abstract

The Ising model in uncorrelated scale-free networks has been studied by means of Monte Carlo simulations. These networks are characterized by a degree (or connectivity) distribution P(k)kγP(k) \sim k^{-\gamma}. The ferromagnetic-paramagnetic transition temperature has been studied as a function of the parameter γ\gamma. For γ>3\gamma > 3 our results agree with earlier analytical calculations, which found a phase transition at a temperature Tc(γ)T_c(\gamma) in the thermodynamic limit. For γ3\gamma \leq 3, a ferromagnetic-paramagnetic crossover occurs at a size-dependent temperature TcoT_{co}, and the system is in the ordered ferromagnetic state at any temperature for a system size NN \to \infty. For γ=3\gamma = 3 and large enough NN, the crossover temperature is found to be TcoAlnNT_{co} \approx A \ln N, with a prefactor AA proportional to the mean degree. For 2<γ<32 < \gamma < 3, we obtain Tco<k>NzT_{co} \sim < k > N^z, with an exponent zz that decreases as γ\gamma increases. This exponent is found to be lower than predicted by earlier calculations.

Keywords

Cite

@article{arxiv.cond-mat/0412355,
  title  = {Ising model in scale-free networks: A Monte Carlo simulation},
  author = {Carlos P. Herrero},
  journal= {arXiv preprint arXiv:cond-mat/0412355},
  year   = {2009}
}

Comments

5 pages, 5 figures

R2 v1 2026-07-22T11:11:31.214Z