摘要
无标度加权网络的模型构建已经引起了越来越多的关注。提出了一种权重依时间增长的加权网络模型,其中每个时间间隔的权重增长量是个随机变量。利用主方程方法,可以证实当时间t→∞时,该网络有稳定权重分布p(w)。通过两个计算实例,发现p(w)～w-γ,其中幂律指数γ>2。
ModeLing of scale-free weighted network has caught much more attention. In this paper, we propose a model of weighted networks in which weights of edges evolve with time and the incremental amount at interval time is drawn from certain distribution With master-equation approach it can be testified that when t→∞ ,there is a stationary distribution of weights p（w）. Then in two instances, we find p（w）-w-γ, where power-law tail γ〉2.
出处
《龙岩学院学报》
2009年第5期13-15,25,共4页
Journal of Longyan University
基金
福建省科技厅K类基金资助项目(2006F15035)
关键词
加权网络
幂律尾部
概率密度
权重增长
主方程方法
weighted networks
power-law tail
probability density
weight evolving
master equation approach
