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General BBV Model of Weighted Complex Networks

shuchen 添加于 2011-8-7 12:52 | 3326 次阅读 | 0 个评论

作者
Hao B, Zhou Y, Jing Y, Zhang S
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.
详细资料
- 文献种类: Conference
- 会议: 2009 International Conference on Communication Software and Networks
- 期卷页: 2009年 295-298页
- 出版社: IEEE
- 位置: Chengdu Sichuan, China
- ISBN: 978-0-7695-3522-7
学科领域信息系统 » 系统科学
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TRAFFIC MODEL
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附件
General BBV Model of Weighted Complex Networks