Nonextensive information entropy for stochastic networks

dc.creatorWilk, G.
dc.creatorWlodarczyk, Z.
dc.date2002-12-03
dc.date2003-12-03
dc.date.accessioned2026-07-07T02:48:31Z
dc.date.available2026-07-07T02:48:31Z
dc.descriptionNature is full of random networks of complex topology describing such apparently disparate systems as biological, economical or informatical ones. Their most characteristic feature is the apparent scale-free character of interconnections between nodes. Using an information theory approach, we show that maximalization of information entropy leads to a wide spectrum of possible types of distributions including, in the case of nonextensive information entropy, the power-like scale-free distributions characteristic of complex systems.
dc.descriptionFinal version, to be published in Acta Phys. Polon. B35 (2004)
dc.identifierhttps://arxiv.org/abs/cond-mat/0212056
dc.identifierhttp://arxiv.org/abs/cond-mat/0212056
dc.identifierActa Phys.Polon. B35 (2004) 871-880
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/20438
dc.subjectCondensed Matter
dc.subjectHigh Energy Physics - Phenomenology
dc.subjectNuclear Theory
dc.titleNonextensive information entropy for stochastic networks
dc.typetext

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