文献类型：会议论文

英文题名：General BBV Model of Weighted Complex Networks

作者：Hao, Binbin[1] Jing, Yuanwei[1] Zhang, Siying[1] Zhou, Yucheng[2]

第一作者：Hao, Binbin

通信作者：Hao, BB[1]

机构：[1]Northeastern Univ, Sch Informat Sci & Engn, Shenyang, Peoples R China;[2]Chinese Acad Forestry, Res Inst Wood Ind, Beijing, Peoples R China

会议论文集：International Conference on Communication Software and Networks

会议日期：FEB 27-28, 2009

会议地点：Macau, PEOPLES R CHINA

语种：英文

外文关键词：complex networks; weighted networks; scale-free network; triad formation

年份：2009

摘要：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 scale-free 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.