Local-world evolving networks with tunable clustering

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dc.creatorZhang, Zhongzhi
dc.creatorRong, Lili
dc.creatorWang, Bing
dc.creatorZhou, Shuigeng
dc.creatorGuan, Jihong
dc.date2005-05-24
dc.date2007-02-21
dc.date.accessioned2026-07-07T08:00:45Z
dc.date.available2026-07-07T08:00:45Z
dc.descriptionWe propose an extended local-world evolving network model including a triad formation step. In the process of network evolution, random fluctuation in the number of new edges is involved. We derive analytical expressions for degree distribution, clustering coefficient and average path length. Our model can unify the generic properties of real-life networks: scale-free degree distribution, high clustering and small inter-node separation. Moreover, in our model, the clustering coefficient is tunable simply by changing the expected number of triad formation steps after a single local preferential attachment step.
dc.description18 pages, 6 figures. Accepted for publication in Physica A
dc.identifierhttps://arxiv.org/abs/cond-mat/0505589
dc.identifierhttp://arxiv.org/abs/cond-mat/0505589
dc.identifierPhysica A 380 (2007) 639-650
dc.identifierdoi:10.1016/j.physa.2007.02.045
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/128746
dc.subjectStatistical Mechanics
dc.subjectOther Condensed Matter
dc.titleLocal-world evolving networks with tunable clustering
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