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Empirical study on clique-degree distribution of networks

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....

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Published in:Physical review. E, Statistical, nonlinear, and soft matter physics Statistical, nonlinear, and soft matter physics, 2007-09, Vol.76 (3 Pt 2), p.037102-037102, Article 037102
Main Authors: Xiao, Wei-Ke, Ren, Jie, Qi, Feng, Song, Zhi-Wei, Zhu, Meng-Xiao, Yang, Hong-Feng, Jin, Hui-Yu, Wang, Bing-Hong, Zhou, Tao
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Language:English
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cites cdi_FETCH-LOGICAL-c329t-e4df123a13c2106a9d28cb9769bb7523fdeace5ff73725172e666c191df327653
container_end_page 037102
container_issue 3 Pt 2
container_start_page 037102
container_title Physical review. E, Statistical, nonlinear, and soft matter physics
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creator Xiao, Wei-Ke
Ren, Jie
Qi, Feng
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Zhu, Meng-Xiao
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description 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.
doi_str_mv 10.1103/PhysRevE.76.037102
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title Empirical study on clique-degree distribution of networks
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