Compound Poisson approximations of subgraph counts in random graphs

Dudley Stark
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引用次数: 9

Abstract

Poisson approximation, random graphs, Stein's method Poisson approximations for the counts of a given subgraph in large random graphs were accomplished using Stein's method by Barbour and others. Compound Poisson approximation results, on the other hand, have not appeared, at least partly because of the lack of a suitable coupling. We address that problem by introducing the concept of cluster determining pairs, leading to a useful coupling for a large class of subgraphs we call local. We find bounds on the compound Poisson approximation of counts of local subgraphs in large random graphs.
随机图中子图计数的复合泊松近似
在大型随机图中,给定子图计数的泊松近似是由Barbour等人用Stein的方法完成的。另一方面,复合泊松近似结果没有出现,至少部分原因是缺乏适当的耦合。我们通过引入聚类确定对的概念来解决这个问题,这导致了一大类子图的有用耦合,我们称之为局部。我们找到了大随机图中局部子图计数的复合泊松近似的界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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