Lee Sungmin, Kim Yup
Department of Physics and Research Institute for Basic Sciences, Kyung Hee University, Seoul 130-701, Korea.
Phys Rev E Stat Nonlin Soft Matter Phys. 2005 May;71(5 Pt 2):057102. doi: 10.1103/PhysRevE.71.057102. Epub 2005 May 19.
We investigate Bak-Sneppen coevolution models on scale-free networks with various degree exponents gamma including random networks. For gamma>3 , the critical fitness value f(c) approaches a nonzero finite value in the limit N --> infinity, whereas f(c) approaches zero as 2<gamma< or =3. These results are explained by showing analytically f(c) (N) approximately =A/<(k+1)(2)>(N) on the networks with size N. The avalanche size distribution P (s) shows the normal power-law behavior for gamma>3. In contrast, P (s) for 2<gamma < or =3 has two power-law regimes. One is a short regime for small s with a large exponent tau(1) and the other is a long regime for large s with a small exponent tau(2) (tau(1) > tau(2) ). The origin of the two power regimes is explained by the dynamics on an artificially made star-linked network.
我们研究了具有不同度指数γ(包括随机网络)的无标度网络上的Bak-Sneppen协同进化模型。对于γ>3,在N→∞的极限情况下,临界适应度值f(c)趋近于一个非零的有限值,而当2<γ≤3时,f(c)趋近于零。通过在大小为N的网络上解析地证明f(c)(N)≈A/〈(k + 1)^2〉(N)来解释这些结果。雪崩大小分布P(s)对于γ>3呈现出正常的幂律行为。相比之下,对于2<γ≤3,P(s)有两个幂律区域。一个是小s的短区域,具有大指数τ(1),另一个是大s的长区域,具有小指数τ(2)(τ(1)>τ(2))。通过在人工构建的星型连接网络上的动力学来解释这两个幂律区域的起源。