Better bounds for coalescing-branching random walks
Michael Mitzenmacher, Rajmohan Rajaraman, Scott Roche

TL;DR
This paper improves bounds on the cover time of 2-cobra walks, a variant of random walks modeling information spread, showing faster coverage in various graph classes than previously known.
Contribution
It extends previous results by providing tighter bounds on cover time for 2-cobra walks in grid, regular, and general graphs, surpassing classical random walk bounds.
Findings
Cover time on $[0,n]^d$ is $O(n)$ for 2-cobra walks.
Cover time on $d$-regular graphs with conductance ${ ext{phi}_G}$ is $O({1}{ ext{phi}_G^2} ext{log}^2 n).
Cover time on any $n$-vertex graph is $O(n^{11/4} ext{log} n)$, beating the classical $O(n^3)$ bound.
Abstract
Coalescing-branching random walks, or {\em cobra walks} for short, are a natural variant of random walks on graphs that can model the spread of disease through contacts or the spread of information in networks. In a -cobra walk, at each time step a subset of the vertices are active; each active vertex chooses random neighbors (sampled independently and uniformly with replacement) that become active at the next step, and these are the only active vertices at the next step. A natural quantity to study for cobra walks is the cover time, which corresponds to the expected time when all nodes have become infected or received the disseminated information. In this work, we extend previous results for cobra walks in multiple ways. We show that the cover time for the 2-cobra walk on is (where the order notation hides constant factors that depend on ); previous work…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Complex Network Analysis Techniques · Opportunistic and Delay-Tolerant Networks
