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Bibliographic Details
Main Author: Wang, Minmin
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2309.13694
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author Wang, Minmin
author_facet Wang, Minmin
contents We identify the scaling limit of random intersection graphs inside their critical windows. The limit graphs vary according to the clustering regimes, and coincide with the continuum Erdos--Renyi graph in two out of the three regimes. Our approach to the scaling limit relies upon the close connection of random intersection graphs with binomial bipartite graphs, as well as a graph exploration algorithm on the latter. This further allows us to prove limit theorems for the number of triangles in the large connected components of the graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2309_13694
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Large random intersection graphs inside the critical window and triangle counts
Wang, Minmin
Probability
We identify the scaling limit of random intersection graphs inside their critical windows. The limit graphs vary according to the clustering regimes, and coincide with the continuum Erdos--Renyi graph in two out of the three regimes. Our approach to the scaling limit relies upon the close connection of random intersection graphs with binomial bipartite graphs, as well as a graph exploration algorithm on the latter. This further allows us to prove limit theorems for the number of triangles in the large connected components of the graphs.
title Large random intersection graphs inside the critical window and triangle counts
topic Probability
url https://arxiv.org/abs/2309.13694