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

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arxiv 2401.07896 v3 pith:K5FRRSDR submitted 2024-01-15 math.PR

classification math.PR
keywords hittingvertexaveragedblockspectraltimetimesalmost
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abstract

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.

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  1. The Spectral Barycentre of a Set of Graphs with Community Structure

    cs.SI 2025-01 conditional novelty 6.0 of 10

    The barycentre graph of a graph dataset is reconstructed by pairing the mean Laplacian spectrum with Soules-basis eigenvectors aligned to communities, and for balanced stochastic block models this reconstruction is cl...

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