General BBV Model of Weighted Complez Networks
An evolving model is proposed to characterize weighted complex networks. Our model is based on the weighted network model proposed by Alain Barrat et al. (BBV for shot), emergences of new links according to triad formation and random selection mechanism, interactions more easily occur between neighbors (friends of friends) in our model. The evolution of degree and strength exhibit the power-law distributions. The average strength displays scalefree property with degree. The nontrivial clustering coefficient is investigated depending on parameters of model. A weighted scale-free network with high clustering coefficient can be obtained by adjusting two parameters of our model.
complez networks weighted networks scale-free network triad formation
Binbin Hao Yuanwei Jing Siying Zhang Yucheng Zhou
School of Information Science and Engineering Northeastern University Shenyang, China Research Institute of Wood Industry Chinese Academy of Forestry Beijing, China
国际会议
The International Conference on Communication Software and Networks(2009 IEEE通信软件与网络国际会议 ICCSN 2009)
成都
英文
295-298
2009-02-20(万方平台首次上网日期,不代表论文的发表时间)