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复杂网络局部结构的涌现:共同邻居驱动网络演化
引用本文:崔爱香,傅彦,尚明生,陈端兵,周涛. 复杂网络局部结构的涌现:共同邻居驱动网络演化[J]. 物理学报, 2011, 60(3): 38901-038901
作者姓名:崔爱香  傅彦  尚明生  陈端兵  周涛
作者单位:(1)电子科技大学计算机科学与工程学院,互联网科学中心,成都 611731; (2)电子科技大学计算机科学与工程学院,互联网科学中心,成都 611731;中国科学技术大学近代物理系,合肥 230026
基金项目:国家自然科学基金重大研究计划(批准号:90924011), 国家自然科学基金重点项目(批准号:10635040)和国家自然科学基金(批准号:60973069)资助的课题.
摘    要:在对真实网络的小世界和无标度特性进行了大量深入考量之后,最近的研究热点开始转移到更加细致的局部结构.实证数据显示,大量真实网络具有幂律的低阶集团度分布.这一普适的规律,无法由富者愈富以及熟人推荐的网络生长机理再现.本文提出一种由共同邻居驱动的网络演化模型,该模型能够重现实证研究所观察到的幂律集团度分布,暗示共同邻居驱动是复杂网络局部结构涌现形成的内在机理.关键词:复杂网络演化模型集团度分布共同邻居

关 键 词:复杂网络  演化模型  集团度分布  共同邻居
收稿时间:2010-08-08

Emergence of local structures in complex network :common neighborhood drives the network evolution
Cui Ai-Xiang,Fu Yan,Shang Ming-Sheng,Chen Duan-Bing,Zhou Tao. Emergence of local structures in complex network :common neighborhood drives the network evolution[J]. Acta Physica Sinica, 2011, 60(3): 38901-038901
Authors:Cui Ai-Xiang  Fu Yan  Shang Ming-Sheng  Chen Duan-Bing  Zhou Tao
Affiliation:Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China;Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China;Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China;Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China;Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China;Department of Morden Physics, University of Science and Technology of China, Hefei 230026, China
Abstract:After extensive study on the small-world and scale-free properties of networks, the research focus is shifting to detailed local structures. Empirical analysis shows that many real networks exhibit the power-law clique-degree distribution. This general regularity cannot be produced by the rich-get-richer mechanism. In this paper, we propose a common-neighborhood-dirven model in which the observed power-law clique-degree distribution con be well reproduced, indicating that the common-neighborhood-dirven mechanism is an essential factor leading to the emergence of local structures.
Keywords:complex networks  evolving model  clique-degree distribution  common neighborhood
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