摘要
提出了一个合作参与者数T是随机变量的广义合作网络模型,新参与者以概率p随机选择T-1个合作者,以概率1-p择优选择T-1个合作者。通过节点度变化满足的马尔可夫性质,利用马尔可夫链的方法和技巧得到了度分布的精确解析表达式。概率p的取值决定了此广义合作网络的无标度特性,当p<1时是无标度网络,且标度指数是参数p的函数。
Proposes a generalized collaboration networkwhich the number of collaborators Tis a random variable, the new member with probability p chooses T-1 collaborators randomly and with probability 1-p chooses T-1 collaborators preferentially. Through node degree changing, meets Markov property, and by means of Markov chain theory obtains accurate analytic expression of degree distribution. The value of the parameter p determines the scale-free property of this generalized collaboration network, and when p〈1, the network is scale-free and the scale exponent is a function ofp.
出处
《湖南工业大学学报》
2012年第4期69-71,共3页
Journal of Hunan University of Technology
关键词
广义合作网络
马氏链
度分布
无标度网络
generalized collaboration network
Markov Chain
degree distribution
scale-free network
