Critical percolation in self-organized media: A case study on random directed networks

dc.creatorKamp, Christel
dc.creatorBornholdt, Stefan
dc.date2002-10-18
dc.date.accessioned2026-07-07T02:47:47Z
dc.date.available2026-07-07T02:47:47Z
dc.descriptionA minimal model for self-organized critical percolation on directed graphs with activating and de-activating links is studied. Unlike classical self-organized criticality, the variables that determine criticality are separated from the dynamical variables of the system and evolve on a slower timescale, resulting in robust criticality. While activity of nodes percolates across the network, the network self-organizes through local adjustment of links according to the criterion that a link's adjacent nodes' average activities become similar. As a result, the network self-organizes to the percolation transition with activity avalanches propagating marginally across the graph. No fine-tuning of parameters is needed.
dc.description4 pages RevTeX including 3 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0210410
dc.identifierhttp://arxiv.org/abs/cond-mat/0210410
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/20140
dc.subjectStatistical Mechanics
dc.titleCritical percolation in self-organized media: A case study on random directed networks
dc.typetext

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