Empirical study on clique-degree distribution of networks

Xiao, Wei-Ke; Ren, Jie; Qi, Feng; Song, Zhi-Wei; Zhu, Meng-Xiao; Yang, Hong-Feng; Jin, Hui-Yu; Wang, Bing-Hong; Zhou, Tao

doi:10.1103/PhysRevE.76.037102

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Journal article

Empirical study on clique-degree distribution of networks

Xiao, Wei-Ke Center for Astrophysics, University of Science and Technology of China, Hefei, China - Research Group of Complex Systems, University of Science and Technology of China, Hefei, China
Ren, Jie Research Group of Complex Systems, University of Science and Technology of China, Hefei, China - Department of Physics, University of Fribourg, Switzerland - Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
Qi, Feng Research Group of Complex Systems, University of Science and Technology of China, Hefei, China
Song, Zhi-Wei Research Group of Complex Systems, University of Science and Technology of China, Hefei, China
Zhu, Meng-Xiao Research Group of Complex Systems, University of Science and Technology of China, Hefei, China
Yang, Hong-Feng Research Group of Complex Systems, University of Science and Technology of China, Hefei, China
Jin, Hui-Yu Research Group of Complex Systems, University of Science and Technology of China, Hefei, China
Wang, Bing-Hong Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China
Zhou, Tao Department of Physics, University of Fribourg, Switzerland - Department of Modern Physics and Nonlinear Science Center, University of Science and Technology of China, Hefei, China

27.09.2007

Published in:

Physical Review E. - 2007, vol. 76, no. 3, p. 037102

English The community structure and motif-modular-network hierarchy are of great importance for understanding the relationship between structures and functions. We investigate the distribution of clique degrees, which are an extension of degree and can be used to measure the density of cliques in networks. Empirical studies indicate the extensive existence of power-law clique-degree distributions in various real networks, and the power-law exponent decreases with an increase of clique size.

Faculty

Faculté des sciences et de médecine

Department

Département de Physique

Language