English

Best-of-Three Voting on Dense Graphs

Discrete Mathematics 2019-03-25 v1 Distributed, Parallel, and Cluster Computing Probability

Abstract

Given a graph GG of nn vertices, where each vertex is initially attached an opinion of either red or blue. We investigate a random process known as the Best-of-three voting. In this process, at each time step, every vertex chooses three neighbours at random and adopts the majority colour. We study this process for a class of graphs with minimum degree d=nαd = n^{\alpha}\,, where α=Ω((loglogn)1)\alpha = \Omega\left( (\log \log n)^{-1} \right). We prove that if initially each vertex is red with probability greater than 1/2+δ1/2+\delta, and blue otherwise, where δ(logd)C\delta \geq (\log d)^{-C} for some C>0C>0, then with high probability this dynamic reaches a final state where all vertices are red within O(loglogn)+O(log(δ1))O\left( \log \log n\right) + O\left( \log \left( \delta^{-1} \right) \right) steps.

Keywords

Cite

@article{arxiv.1903.09524,
  title  = {Best-of-Three Voting on Dense Graphs},
  author = {Nan Kang and Nicolas Rivera},
  journal= {arXiv preprint arXiv:1903.09524},
  year   = {2019}
}

Comments

Accepted at ACM SPAA 2019

R2 v1 2026-06-23T08:16:23.122Z