A Research on Complex Network Models Based on Poisson Growth

摘要：

The mechanisms of Growth and Preferential Attachment of BA model simply demonstrate the process of scalefree networks formation. Based on the facts that nodes in real networks arrive in batches, and growth rate of edges in networks is larger than that of nodes, this thesis utilizes the concept that nodes in queue theory arrive in Poisson process, coming up with a new complex network model. Nodes in this model grow in a non-linear way as a Poisson process with rate λ1; and edges grow in a non-linear way as a Poisson process with rate λ2. Employing mean field theory, this thesis concludes that degree distribution of networks obeys power-law distribution, and BA scale-free network model is a particular case of this model.

关键词： Scale-free network Poisson growth Degree distribution

作者: Lili Wang Shuangyuan Yu

作者单位: School of Computer and Information Technology, Beijing Jiaotong University, Beijing

会议类型: 国际会议

会议名称: 2012 International Conference on Future Communication and Computer Technology(2012未来通信与计算机技术国际会议ICFCCT 2012)

会议地点: 哈尔滨

会议语种:英文

页码: 357-361

在线出版日期: 2012-05-19（万方平台首次上网日期，不代表论文的发表时间）