The coalescing-branching random walk on expanders and the dual epidemic process
Colin Cooper, Tomasz Radzik, Nicolas Rivera

TL;DR
This paper analyzes the coalescing-branching random walk (COBRA) on expander graphs, establishing bounds on its cover time using a novel duality with a biased epidemic process, improving previous results.
Contribution
It introduces a duality between COBRA and a biased epidemic process, providing tighter bounds on cover time for expanders independent of degree.
Findings
COBRA cover time is O(log n) for good expanders
Bounds are independent of degree r in the graph
Duality with epidemic process is a key analytical tool
Abstract
Information propagation on graphs is a fundamental topic in distributed computing. One of the simplest models of information propagation is the push protocol in which at each round each agent independently pushes the current knowledge to a random neighbour. In this paper we study the so-called coalescing-branching random walk (COBRA), in which each vertex pushes the information to randomly selected neighbours and then stops passing information until it receives the information again. The aim of COBRA is to propagate information fast but with a limited number of transmissions per vertex per step. In this paper we study the cover time of the COBRA process defined as the minimum time until each vertex has received the information at least once. Our main result says that if is an -vertex -regular graph whose transition matrix has second eigenvalue , then the COBRA…
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