Life, Death and Preferential Attachment

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dc.creatorLehmann, S.
dc.creatorJackson, A. D.
dc.creatorLautrup, B.
dc.date2004-08-22
dc.date.accessioned2026-07-07T02:59:52Z
dc.date.available2026-07-07T02:59:52Z
dc.descriptionScientific communities are characterized by strong stratification. The highly skewed frequency distribution of citations of published scientific papers suggests a relatively small number of active, cited papers embedded in a sea of inactive and uncited papers. We propose an analytically soluble model which allows for the death of nodes. This model provides an excellent description of the citation distributions for live and dead papers in the SPIRES database. Further, this model suggests a novel and general mechanism for the generation of power law distributions in networks whenever the fraction of active nodes is small.
dc.description5 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0408472
dc.identifierhttp://arxiv.org/abs/cond-mat/0408472
dc.identifierEurophys.Lett. 69 (2005) 298-303
dc.identifierdoi:10.1209/epl/i2004-10331-2
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/24683
dc.subjectDisordered Systems and Neural Networks
dc.subjectOther Condensed Matter
dc.titleLife, Death and Preferential Attachment
dc.typetext

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