On the Voting Time of the Deterministic Majority Process
Dominik Kaaser, Frederik Mallmann-Trenn, Emanuele Natale

TL;DR
This paper investigates the convergence time of the deterministic binary majority process on graphs, providing a new upper bound that accounts for special cases like complete graphs and establishing NP-hardness results for certain decision problems.
Contribution
It introduces a novel upper bound on convergence time by exploiting graph modules, improving understanding of the process's dynamics and computational complexity.
Findings
New upper bound on convergence time considering graph structure
Identification of modules to bound worst-case convergence
NP-hardness of certain opinion assignment problems
Abstract
In the deterministic binary majority process we are given a simple graph where each node has one out of two initial opinions. In every round, every node adopts the majority opinion among its neighbors. By using a potential argument first discovered by Goles and Olivos (1980), it is known that this process always converges in rounds to a two-periodic state in which every node either keeps its opinion or changes it in every round. It has been shown by Frischknecht, Keller, and Wattenhofer (2013) that the bound on the convergence time of the deterministic binary majority process is indeed tight even for dense graphs. However, in many graphs such as the complete graph, from any initial opinion assignment, the process converges in just a constant number of rounds. By carefully exploiting the structure of the potential function by Goles and Olivos (1980), we derive a new…
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