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Weak local limit of preferential attachment random trees with additive fitness

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arxiv 2103.00900 v2 pith:M434KYK3 submitted 2021-03-01 math.PR

classification math.PR
keywords vertexfitnessattachmentchosenlimitlocalpreferentialrandom
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We consider linear preferential attachment random trees with additive fitness, where fitness is defined as the random initial vertex attractiveness. We show that when the fitness distribution has positive bounded support, the weak local limit of this family can be constructed using a sequence of mixed Poisson point processes. We also provide a rate of convergence of the total variation distance between the r- neighbourhood of the uniformly chosen vertex in the preferential attachment tree and that of the root vertex of its weak local limit. We apply the theorem to obtain the limiting degree distributions of the uniformly chosen vertex and its ancestors, that is, the vertices that are on the path between the uniformly chosen vertex and the initial vertex. Rates of convergence in the total variation distance are established for these results.

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  1. Logarithmic typical distances in preferential attachment models

    math.PR 2025-02 accept novelty 8.0 of 10

    For preferential attachment graphs with out-degree at least 2 and positive fitness, the distance between two uniformly chosen vertices is asymptotically logν n, with ν the explicit growth parameter of the local limit.

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