ITP OpenIR  > 理论物理所2017年知识产出
Statistical properties of random clique networks
Ding, YM; Meng, J; Fan, JF; Ye, FF; Chen, XS; Chen, XS (reprint author), Chinese Acad Sci, Inst Theoret Phys, Key Lab Theoret Phys, POB 2735, Beijing 100190, Peoples R China.; Ye, FF (reprint author), Chinese Acad Sci, Inst Phys, Key Lab Soft Matter Phys, Beijing Natl Lab Condensed Matter Phys, Beijing 100190, Peoples R China.; Chen, XS (reprint author), Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100049, Peoples R China.
2017
发表期刊FRONTIERS OF PHYSICS
卷号12期号:5页码:128909
文章类型Article
摘要In this paper, a random clique network model to mimic the large clustering coefficient and the modular structure that exist in many real complex networks, such as social networks, artificial networks, and protein interaction networks, is introduced by combining the random selection rule of the Erdos and Renyi (ER) model and the concept of cliques. We find that random clique networks having a small average degree differ from the ER network in that they have a large clustering coefficient and a power law clustering spectrum, while networks having a high average degree have similar properties as the ER model. In addition, we find that the relation between the clustering coefficient and the average degree shows a non-monotonic behavior and that the degree distributions can be fit by multiple Poisson curves; we explain the origin of such novel behaviors and degree distributions.
关键词Complex Networks Random Clique Networks Motifs Communicability
学科领域Physics
资助者Chinese Academy of Sciences ; Chinese Academy of Sciences ; Open Foundation of the State Key Laboratory of Theoretical Physics [Y3KF321CJ1] ; Open Foundation of the State Key Laboratory of Theoretical Physics [Y3KF321CJ1] ; National Natural Science Foundation of China [10835005] ; National Natural Science Foundation of China [10835005] ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Open Foundation of the State Key Laboratory of Theoretical Physics [Y3KF321CJ1] ; Open Foundation of the State Key Laboratory of Theoretical Physics [Y3KF321CJ1] ; National Natural Science Foundation of China [10835005] ; National Natural Science Foundation of China [10835005]
DOIhttp://dx.doi.org/10.1007/s11467-017-0682-x
关键词[WOS]COMPLEX NETWORKS ; WORLD NETWORKS ; DYNAMICS
语种英语
资助者Chinese Academy of Sciences ; Chinese Academy of Sciences ; Open Foundation of the State Key Laboratory of Theoretical Physics [Y3KF321CJ1] ; Open Foundation of the State Key Laboratory of Theoretical Physics [Y3KF321CJ1] ; National Natural Science Foundation of China [10835005] ; National Natural Science Foundation of China [10835005] ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; Open Foundation of the State Key Laboratory of Theoretical Physics [Y3KF321CJ1] ; Open Foundation of the State Key Laboratory of Theoretical Physics [Y3KF321CJ1] ; National Natural Science Foundation of China [10835005] ; National Natural Science Foundation of China [10835005]
WOS类目Physics, Multidisciplinary
引用统计
文献类型期刊论文
条目标识符http://ir.itp.ac.cn/handle/311006/21961
专题理论物理所2017年知识产出
通讯作者Ye, FF; Chen, XS (reprint author), Chinese Acad Sci, Inst Theoret Phys, Key Lab Theoret Phys, POB 2735, Beijing 100190, Peoples R China.; Ye, FF (reprint author), Chinese Acad Sci, Inst Phys, Key Lab Soft Matter Phys, Beijing Natl Lab Condensed Matter Phys, Beijing 100190, Peoples R China.; Chen, XS (reprint author), Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100049, Peoples R China.
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Ding, YM,Meng, J,Fan, JF,et al. Statistical properties of random clique networks[J]. FRONTIERS OF PHYSICS,2017,12(5):128909.
APA Ding, YM.,Meng, J.,Fan, JF.,Ye, FF.,Chen, XS.,...&Chen, XS .(2017).Statistical properties of random clique networks.FRONTIERS OF PHYSICS,12(5),128909.
MLA Ding, YM,et al."Statistical properties of random clique networks".FRONTIERS OF PHYSICS 12.5(2017):128909.
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