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混合连接广义合作网络的度分布分析
引用本文:雷 敏,敬 萍.混合连接广义合作网络的度分布分析[J].湖南工业大学学报,2012,26(4):69-71.
作者姓名:雷 敏  敬 萍
作者单位:1. 湖南工业大学电气与信息工程学院,湖南株洲,412007
2. 中南大学数学与统计学院,湖南长沙,410075
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。

关 键 词:广义合作网络  马氏链  度分布  无标度网络
收稿时间:2012/6/13 0:00:00

The Degree Distribution of Generalized Collaboration Network with Mixed Attachments
Lei Min and Jing Ping.The Degree Distribution of Generalized Collaboration Network with Mixed Attachments[J].Journal of Hnnnan University of Technology,2012,26(4):69-71.
Authors:Lei Min and Jing Ping
Affiliation:1.School of Electrical and Information Engineering,Hunan University of Technology,Zhuzhou Hunan 412007,China; 2.School of Mathematics and Statistics,Central South University,Changsha 410075,China)
Abstract:Proposes a generalized collaboration network which the number of collaborators T is 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 of p.
Keywords:generalized collaboration network  Markov Chain  degree distribution  scale-free network
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