Activity ageing in growing networks

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dc.creatorLambiotte, R.
dc.date2007-01-14
dc.date2007-02-11
dc.date.accessioned2026-07-07T07:49:55Z
dc.date.available2026-07-07T07:49:55Z
dc.descriptionWe present a model for growing information networks where the ageing of a node depends on the time at which it entered the network and on the last time it was cited. The model is shown to undergo a transition from a small-world to large-world network. The degree distribution may exhibit very different shapes depending on the model parameters, e.g. delta-peaked, exponential or power-law tailed distributions.
dc.description9 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/physics/0701157
dc.identifierhttp://arxiv.org/abs/physics/0701157
dc.identifierJ. Stat. Mech. (2007) P02020
dc.identifierdoi:10.1088/1742-5468/2007/02/P02020
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/124996
dc.subjectPhysics and Society
dc.titleActivity ageing in growing networks
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