Connectivity transitions in networks with super-linear preferential attachment

dc.creatorOliveira, Roberto
dc.creatorSpencer, Joel
dc.date2005-10-20
dc.date.accessioned2026-07-07T06:47:44Z
dc.date.available2026-07-07T06:47:44Z
dc.descriptionWe analyze an evolving network model of Krapivsky and Redner in which new nodes arrive sequentially, each connecting to a previously existing node b with probability proportional to the p-th power of the in-degree of b. We restrict to the super-linear case p>1. When 1+1/k< p \leq 1 + 1/(k-1) the structure of the final countable tree is determined. There is a finite tree T with distinguished v (which has a limiting distribution) on which is "glued" a specific infinite tree. v has an infinite number of children, an infinite number of which have k-1 children, and there are only a finite number of nodes (possibly only v) with k or more children. Our basic technique is to embed the discrete process in a continuous time process using exponential random variables, a technique that has previously been employed in the study of balls-in-bins processes with feedback.
dc.description43 pages, 2 figures. To appear in "Internet Mathematics"
dc.identifierhttps://arxiv.org/abs/math/0510446
dc.identifierhttp://arxiv.org/abs/math/0510446
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/103752
dc.subjectProbability
dc.subjectDisordered Systems and Neural Networks
dc.subjectCombinatorics
dc.subject60C05,60J05,60J80,05C05,05C80
dc.titleConnectivity transitions in networks with super-linear preferential attachment
dc.typetext

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