Spectral properties of the stochastic block model and their application to hitting times of random walks

Fuente: arXiv
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Main Authors: Löwe, Matthias, Terveer, Sara
Format: Preprint
Published: 2024
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author Löwe, Matthias
Terveer, Sara
author_facet Löwe, Matthias
Terveer, Sara
contents We analyze hitting times of simple random walk on realizations of the stochastic block model. We show that under some natural assumptions the hitting time averaged over the target vertex asymptotically almost surely given by $N(1+o(1))$. On the other hand, the hitting time averaged over the starting vertex asymptotically almost surely depends on expected degrees in the block the target vertex is in. We also show a central limit theorem for the hitting time averaged over the starting vertex. Our main techniques are a spectral decomposition of these hitting times, a spectral analysis of the adjacency matrix and the graph Laplacian.
format Preprint
id arxiv_https___arxiv_org_abs_2401_07896
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Spectral properties of the stochastic block model and their application to hitting times of random walks
Löwe, Matthias
Terveer, Sara
Probability
[2020] 05C81, 05C80, 60F05
We analyze hitting times of simple random walk on realizations of the stochastic block model. We show that under some natural assumptions the hitting time averaged over the target vertex asymptotically almost surely given by $N(1+o(1))$. On the other hand, the hitting time averaged over the starting vertex asymptotically almost surely depends on expected degrees in the block the target vertex is in. We also show a central limit theorem for the hitting time averaged over the starting vertex. Our main techniques are a spectral decomposition of these hitting times, a spectral analysis of the adjacency matrix and the graph Laplacian.
title Spectral properties of the stochastic block model and their application to hitting times of random walks
topic Probability
[2020] 05C81, 05C80, 60F05
url https://arxiv.org/abs/2401.07896