中文

Coevolutionary dynamics on scale-free networks

统计力学 2009-11-11 v3 无序系统与神经网络

摘要

We investigate Bak-Sneppen coevolution models on scale-free networks with various degree exponents γ\gamma including random networks. For γ>3\gamma >3, the critical fitness value fcf_c approaches to a nonzero finite value in the limit NN \to \infty, whereas fcf_c approaches to zero as 2<γ32<\gamma \le 3. These results are explained by showing analytically fc(N)A/<(k+1)2>Nf_c(N) \simeq A/<(k+1)^2>_N on the networks with size NN. The avalanche size distribution P(s)P(s) shows the normal power-law behavior for γ>3\gamma >3. In contrast, P(s)P(s) for 2<γ32 <\gamma \le 3 has two power-law regimes. One is a short regime for small ss with a large exponent τ1\tau_1 and the other is a long regime for large ss with a small exponent τ2\tau_2 (τ1>τ2\tau_1 > \tau_2). The origin of the two power-regimes is explained by the dynamics on an artificially-made star-linked network.

引用

@article{arxiv.cond-mat/0502494,
  title  = {Coevolutionary dynamics on scale-free networks},
  author = {Sungmin Lee and Yup Kim},
  journal= {arXiv preprint arXiv:cond-mat/0502494},
  year   = {2009}
}

备注

5 pages, 5 figures