2020
DOI: 10.1002/rsa.20985
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On Bollobás‐Riordan random pairing model of preferential attachment graph

Abstract: Bollobás-Riordan random pairing model of a preferential attachment graph G n m is studied. Let {W j } j ≤ mn + 1 be the process of sums of independent exponentials with mean 1. We prove that the degrees of the first n m ≔ n m m+2 − vertices are jointly, and uniformly, asymptotic to, and that with high probability (whp) the smallest of these degrees is n (m+2) 2m , at least. Next we bound the probability that there exists a pair of large vertex sets without connecting edges, and apply the bound to several speci… Show more

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Cited by 2 publications
(4 citation statements)
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“…In this paper we construct a new factorial-type martingale with one argument being the total size of a 'descendant' subtree. This is a generalization of the martingale for δ = 0, found by Pittel [36].…”
Section: Introductionmentioning
confidence: 66%
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“…In this paper we construct a new factorial-type martingale with one argument being the total size of a 'descendant' subtree. This is a generalization of the martingale for δ = 0, found by Pittel [36].…”
Section: Introductionmentioning
confidence: 66%
“…Fix a positive integer r and let X(t) denote the number of descendants of r at time t. Here r is a descendant of r, and x is a descendant of r if and only if x chooses to attach itself to at least one descendant of r in step x. In other words, if we think of the graph as a directed graph with edges oriented towards the smaller vertices, vertex x is a descendant of r if and only if there is a directed decreasing path from x to r. In [36] X(t) was proposed as an influence measure of vertex r at time t.…”
Section: Number Of Descendantsmentioning
confidence: 99%
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“…In a different direction, false{Tnfalse}n1$$ {\left\{{T}_n\right\}}_{n\ge 1} $$ is a well‐known case of the random tree (graph, if cycles allowed) process with “preferential attachment”. See Barabási and Albert [1], Móri [17], [18], Bollobás and Riordan [4], Bollobás [3], van der Hofstad [12], Frieze and Karoński [10], Pittel [20].…”
Section: Introductionmentioning
confidence: 99%