K-core in percolated dense graph sequences
Abstract
We determine the size of -core in a large class of dense graph sequences. Let be a sequence of undirected, -vertex graphs with edge weights that converges to a kernel in the cut metric. Keeping an edge of with probability independently, we obtain a sequence of random graphs . Denote by the property of a branching process that the initial particle has at least children, each of which has at least children, each of which has at least children, and so on. Using branching process and the theory of dense graph limits, under mild assumptions we obtain the size of -core of random graphs , \begin{align*} \text{size of -core of } G_n\left(\frac{1}{n}\right) =n \mathbb{P}_{X^W}\left(\mathcal{A}\right) +o_p(n). \end{align*} Our result can also be used to obtain the threshold of appearance of a -core of order .
Cite
@article{arxiv.2012.09730,
title = {K-core in percolated dense graph sequences},
author = {Erhan Bayraktar and Suman Chakraborty and Xin Zhang},
journal= {arXiv preprint arXiv:2012.09730},
year = {2022}
}
Comments
23 pages. The main theorem is proved under optimal condition