Limit theorems in preferential attachment random graphs

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https://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201905171547
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dc.contributor.advisorProf. Dr. Hanna Döringger
dc.creatorBetken, Carina-
dc.date.accessioned2019-05-17T09:04:45Z-
dc.date.available2019-05-17T09:04:45Z-
dc.date.issued2019-05-17T09:04:47Z-
dc.identifier.urihttps://osnadocs.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201905171547-
dc.description.abstractWe consider a general preferential attachment model, where the probability that a newly arriving vertex connects to an older vertex is proportional to a (sub-)linear function of the indegree of the older vertex at that time. We provide a limit theorem with rates of convergence for the distribution of a vertex, chosen uniformly at random, as the number of vertices tends to infinity. To do so, we develop Stein's method for a new class of limting distributions including power-laws. Similar, but slightly weaker results are shown to be deducible using coupling techniques. Concentrating on a specific preferential attachment model we also show that the outdegree distribution asymptotically follows a Poisson law. In addition, we deduce a central limit theorem for the number of isolated vertices. We thereto construct a size-bias coupling which in combination with Stein’s method also yields bounds on the distributional distance.eng
dc.rightsAttribution 3.0 Germany*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/*
dc.subjectpreferential attachment random graphseng
dc.subjectStein's methodeng
dc.subjectlimiting distributioneng
dc.subjectrates of convergenceeng
dc.subjectcouplingeng
dc.subjectpower-law distributioneng
dc.subject.ddc510 - Mathematikger
dc.titleLimit theorems in preferential attachment random graphseng
dc.typeDissertation oder Habilitation [doctoralThesis]-
thesis.locationOsnabrück-
thesis.institutionUniversität-
thesis.typeDissertation [thesis.doctoral]-
thesis.date2019-05-03-
dc.contributor.refereeProf. Dr. Adrian Röllinger
dc.subject.bk31.70 - Wahrscheinlichkeitsrechnungger
Enthalten in den Sammlungen:FB06 - E-Dissertationen

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