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
-
- English
- Classification
- Physics
- License
- License undefined
- Identifiers
-
- RERO DOC 8910
- DOI 10.1103/PhysRevE.76.037102
- Persistent URL
- https://folia.unifr.ch/unifr/documents/300639
Statistics
Document views: 45
File downloads:
- ren_esc.pdf: 81