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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 |
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Main Authors: | , , , , , , , , |
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Language: | English |
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container_end_page | 037102 |
container_issue | 3 Pt 2 |
container_start_page | 037102 |
container_title | Physical review. E, Statistical, nonlinear, and soft matter physics |
container_volume | 76 |
creator | Xiao, Wei-Ke Ren, Jie Qi, Feng Song, Zhi-Wei Zhu, Meng-Xiao Yang, Hong-Feng Jin, Hui-Yu Wang, Bing-Hong Zhou, Tao |
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 |
format | article |
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title | Empirical study on clique-degree distribution of networks |
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