The covertime of a biased random walk on $G_{n,p}$
Colin Cooper, Alan Frieze, Samantha Petti

TL;DR
This paper investigates the covertime of a biased random walk on Erdős–Rényi random graphs, showing that bias towards low-degree vertices reduces the covertime compared to unbiased walks.
Contribution
It introduces a bias towards low-degree vertices in random walks on $G_{n,p}$ and analyzes how this bias affects the covertime, providing new insights into graph exploration dynamics.
Findings
Biased walk reduces covertime compared to unbiased walk
Covertime depends on the degree distribution of the graph
Bias towards low-degree vertices accelerates coverage
Abstract
We analyze the covertime of a biased random walk on the random graph . The walk is biased towards visiting vertices of low degree and this makes the covertime less than in the unbiased case
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics · Point processes and geometric inequalities
