Scaling breakdown in flow fluctuations on complex networks

Simple item page
dc.creatorMeloni, S.
dc.creatorGomez-Gardenes, J.
dc.creatorLatora, V.
dc.creatorMoreno, Y.
dc.date2008-03-06
dc.date2008-05-21
dc.date.accessioned2026-07-07T09:39:48Z
dc.date.available2026-07-07T09:39:48Z
dc.descriptionWe propose a model of random diffusion to investigate flow fluctuations in complex networks. We derive an analytical law showing that the dependence of fluctuations with the mean traffic in a network is ruled by the delicate interplay of three factors, respectively of dynamical, topological and statistical nature. In particular, we demonstrate that the existence of a power-law scaling characterizing the flow fluctuations at every node in the network can not be claimed for. We show the validity of this scaling breakdown under quite general topological and dynamical situations by means of different traffic algorithms and by analyzing real data.
dc.descriptionFinal version appeared in PRL. Minor changes with respect to the previous version
dc.identifierhttps://arxiv.org/abs/0803.0930
dc.identifierhttp://arxiv.org/abs/0803.0930
dc.identifierPhysical Review Letters 100, 208701 (2008)
dc.identifierdoi:10.1103/PhysRevLett.100.208701
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/161310
dc.subjectPhysics and Society
dc.titleScaling breakdown in flow fluctuations on complex networks
dc.typetext

Files

Collections

arXiv