Local weak limit of preferential attachment random trees with additive fitness

Tiffany Y. Y. Lo
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Abstract

We consider linear preferential attachment trees with additive fitness, where fitness is the random initial vertex attractiveness. We show that when the fitnesses are independent and identically distributed and have positive bounded support, the local weak limit can be constructed using a sequence of mixed Poisson point processes. We also provide a rate of convergence for the total variation distance between the r-neighbourhoods of a uniformly chosen vertex in the preferential attachment tree and the root vertex of the local weak limit. The proof uses a Pólya urn representation of the model, for which we give new estimates for the beta and product beta variables in its construction. As applications, we obtain limiting results and convergence rates for the degrees of the uniformly chosen vertex and its ancestors, where the latter are the vertices that are on the path between the uniformly chosen vertex and the initial vertex.
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具有加性适合度的优先附着随机树的局部弱极限
我们考虑的是具有可加适配性的线性优先附着树,其中适配性是随机初始顶点吸引力。我们证明,当适度是独立、同分布且具有正界支持时,可以使用混合泊松点过程序列构建局部弱极限。我们还给出了优先附着树中均匀选择的顶点的 r 邻域与局部弱极限的根顶点之间的总变化距离的收敛率。证明使用了模型的 Pólya urn 表示,我们给出了模型构造中贝塔变量和乘积贝塔变量的新估计值。作为应用,我们得到了统一选择顶点及其祖先(后者是指统一选择顶点和初始顶点之间路径上的顶点)度数的极限结果和收敛率。
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