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随机和择优混合演化网络模型的稳定性
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作者 韩素芳 《数学理论与应用》 2015年第1期122-128,共7页
本文运用主方程等方法给出随机和择优混合演化网络模型稳态度分布存在性的严格证明,并推导度分布的表达式,进而得知该混合演化网络为无标度网络.
关键词 择优演化网络 度分布 无标度
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团体随机和择优混合演化网络模型的稳定性
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作者 韩素芳 《数学理论与应用》 2014年第1期42-47,共6页
主要通过马氏链、主方程的方法和技巧,给出了团体随机和择优混和演化网络的稳态度分布存在性的严格证明,并严格推导了度分布的精确解析表达式.
关键词 择优演化网络 度分布 无标度
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A Weighted Evolving Network with Community Size Preferential Attachment
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作者 卓志伟 单而芳 《Communications in Theoretical Physics》 SCIE CAS CSCD 2010年第11期813-818,共6页
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 i... 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. 展开更多
关键词 community networks weighted networks BBV model community size preferential attachment power-law distribution degree distribution strength distribution
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