Majority dynamics on random graphs: the multiple states case

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Chellig, Jordan, Fountoulakis, Nikolaos
Format: Preprint
Published: 2023
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866908354780069888
author Chellig, Jordan
Fountoulakis, Nikolaos
author_facet Chellig, Jordan
Fountoulakis, Nikolaos
contents We study the evolution of majority dynamics with more than two states on the binomial random graph $G(n,p)$. In this process, each vertex has a state in $\{1,\ldots, k\}$, with $k\geq 3$, and at each round every vertex adopts state $i$ if it has more neighbours in state $i$ that in any other state. Ties are resolved randomly. We show that with high probability the process reaches unanimity in at most three rounds, if $np\gg n^{2/3}$.
format Preprint
id arxiv_https___arxiv_org_abs_2311_09078
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Majority dynamics on random graphs: the multiple states case
Chellig, Jordan
Fountoulakis, Nikolaos
Probability
Combinatorics
05C80
We study the evolution of majority dynamics with more than two states on the binomial random graph $G(n,p)$. In this process, each vertex has a state in $\{1,\ldots, k\}$, with $k\geq 3$, and at each round every vertex adopts state $i$ if it has more neighbours in state $i$ that in any other state. Ties are resolved randomly. We show that with high probability the process reaches unanimity in at most three rounds, if $np\gg n^{2/3}$.
title Majority dynamics on random graphs: the multiple states case
topic Probability
Combinatorics
05C80
url https://arxiv.org/abs/2311.09078