Simplex triangulation induced scale-free networks

dc.creatorGu, Zhi-Ming
dc.creatorZhou, Tao
dc.creatorWang, Bing-Hong
dc.creatorYan, Gang
dc.creatorZhu, Chen-Ping
dc.creatorFu, Zhong-Qian
dc.date2005-05-07
dc.date.accessioned2026-07-07T06:29:47Z
dc.date.available2026-07-07T06:29:47Z
dc.descriptionWe propose a simple rule that generates scale-free networks with very large clustering coefficient and very small average distance. These networks are called simplex triangulation networks(STNs) as they can be considered as a kind of network representation of simplex triangulation. We obtain the analytic results of power-law exponent $γ=2+\frac{1}{d-1}$ for $d$-dimensional STNs, and clustering coefficient $C$. We prove that the increasing tendency of average distance of STNs is a little slower than the logarithm of the number of nodes in STNs. In addition, the STNs possess hierarchical structure as $C(k)\sim k^{-1}$ when $k\gg d$ that in accord with the observations of many real-life networks.
dc.description6 pages, no figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0505175
dc.identifierhttp://arxiv.org/abs/cond-mat/0505175
dc.identifierDynamics of Continuous, Discrete and Impulsive Systems B 13, 505-510 (2006)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/98161
dc.subjectStatistical Mechanics
dc.subjectDisordered Systems and Neural Networks
dc.titleSimplex triangulation induced scale-free networks
dc.typetext

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