2014
DOI: 10.1214/12-aop755
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Asymptotic behavior and distributional limits of preferential attachment graphs

Abstract: We give an explicit construction of the weak local limit of a class of preferential attachment graphs. This limit contains all local information and allows several computations that are otherwise hard, for example, joint degree distributions and, more generally, the limiting distribution of subgraphs in balls of any given radius k around a random vertex in the preferential attachment graph. We also establish the finite-volume corrections which give the approach to the limit. . This reprint differs from the ori… Show more

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Cited by 79 publications
(167 citation statements)
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References 23 publications
(51 reference statements)
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“…For two graphs G and H we write G = H if G and H are isomorphic, and we use the same notation for rooted graphs. Recalling the definition of the Benjamini-Schramm limit (see [Definition 2.1., Berger et al [2014]]), we want to prove that…”
Section: Towards a Proof Of Conjecturementioning
confidence: 99%
See 2 more Smart Citations
“…For two graphs G and H we write G = H if G and H are isomorphic, and we use the same notation for rooted graphs. Recalling the definition of the Benjamini-Schramm limit (see [Definition 2.1., Berger et al [2014]]), we want to prove that…”
Section: Towards a Proof Of Conjecturementioning
confidence: 99%
“…The notion of graph limits is more powerful than the one considered in the previous paragraph as it can, for example, distinguish between models having different limiting degree distributions. The weak local limit of the preferential attachment graph was first studied in the case of trees in Rudas et al [2007] using branching process techniques, and then later in general in Berger et al [2014] using Pólya urn representations. These papers show that PA(n, S 2 ) tends to the so-called Pólya-point graph in the weak local limit sense, and our first theorem utilizes this result to obtain the same for an arbitrary seed:…”
Section: Introductionmentioning
confidence: 99%
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“…These trees are naturally less accurate in terms of giving a precise upper bound, but are much more straightforward to enumerate. This constructive focus is particularly relevant in light of recent results on the preferential attachment model [2,3].…”
Section: Our Resultsmentioning
confidence: 99%
“…Nakano et al [23] used the vertex incremental characterization of distance-hereditary graphs to construct corresponding DH-trees. In this paper, we generalize their characterization and introduce the notion of vertex incremental trees, which encode the vertex incremental operations used to construct a given graph and can be applied to other graph classes 3 . DEFINITION 2.3.…”
Section: Characterization Of Certain Classes Of Graphsmentioning
confidence: 99%