Scale-free networks with self-growing weight

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dc.creatorTanaka, Takuma
dc.creatorAoyagi, Toshio
dc.date2007-01-15
dc.date2007-07-24
dc.date.accessioned2026-07-07T08:19:45Z
dc.date.available2026-07-07T08:19:45Z
dc.descriptionWe present a novel type of weighted scale-free network model, in which the weight grows independently of the attachment of new nodes. The evolution of this network is thus determined not only by the preferential attachment of new nodes to existing nodes but also by self-growing weight of existing links based on a simple weight-driven rule. This model is analytically tractable, so that the various statistical properties, such as the distribution of weight, can be derived. Finally, we found that some type of social networks is well described by this model.
dc.description10 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0701314
dc.identifierhttp://arxiv.org/abs/cond-mat/0701314
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/134872
dc.subjectDisordered Systems and Neural Networks
dc.subjectPhysics and Society
dc.titleScale-free networks with self-growing weight
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