Scaling behavior of an artificial traffic model on scale-free networks

dc.creatorCai, Shi-Min
dc.creatorYan, Gang
dc.creatorZhou, Tao
dc.creatorZhou, Pei-Ling
dc.creatorFu, Zhong-Qian
dc.creatorWang, Bing-Hong
dc.date2006-08-31
dc.date.accessioned2026-07-07T07:59:39Z
dc.date.available2026-07-07T07:59:39Z
dc.descriptionIn this article, we investigate an artificial traffic model on scale-free networks. Instead of using the routing strategy of the shortest path, a generalized routing algorithm is introduced to improve the transportation throughput, which is measured by the value of the critical point disjoining the free-flow phase and the congested phase. By using the detrended fluctuation analysis, we found that the traffic rate fluctuation near the critical point exhibits the $1/f$-type scaling in the power spectrum. The simulation results agree very well with the empirical data, thus the present model may contribute to the understanding of the underlying mechanism of network traffics.
dc.description6 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/physics/0608303
dc.identifierhttp://arxiv.org/abs/physics/0608303
dc.identifierPhysics Letters A 366, 14-19 (2007)
dc.identifierdoi:10.1016/j.physleta.2007.01.086
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/128447
dc.subjectPhysics and Society
dc.subjectData Analysis, Statistics and Probability
dc.titleScaling behavior of an artificial traffic model on scale-free networks
dc.typetext

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