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A Weighted Evolving Network with Community Size Preferential Attachment

A Weighted Evolving Network with Community Size Preferential Attachment
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摘要 Community structure is an important characteristic in real complex network.It is a network consists ofgroups of nodes within which links are dense but among which links are sparse.In this paper, the evolving network includenode, link and community growth and we apply the community size preferential attachment and strength preferentialattachment to a growing weighted network model and utilize weight assigning mechanism from BBV model.Theresulting network reflects the intrinsic community structure with generalized power-law distributions of nodes'degreesand strengths.
出处 《Communications in Theoretical Physics》 SCIE CAS CSCD 2010年第11期813-818,共6页 理论物理通讯(英文版)
基金 Supported by the National Nature Science Foundation of China under Grant No.10832006 PuJiang Project of Shanghai under Grant No.09PJ1405000 Key Disciplines of Shanghai Municipality (S30104) Research Grant of Shanghai University under Grant No.SHUCX092014
关键词 community networks weighted networks BBV model community size preferential attachment power-law distribution degree distribution strength distribution 演化网络 社区发展 择优 加权 社会结构 节点组 复杂网络 网络模型
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二级参考文献8

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