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Random Structures and Algorithms
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Quasi‐majority functional voting on expander graphs

Quasi-majority functional voting on expander graphs
Authors: Nobutaka Shimizu; Takeharu Shiraga;

Quasi‐majority functional voting on expander graphs

Abstract

AbstractConsider an ‐vertex graph where each vertex holds one of two distinct opinions. We are interested in the consensus time of synchronous voting processes, where each vertex is allowed to update its opinion according to a predefined commonly local updating rule. This article proposes a general class of voting processes called quasi‐majority functional voting and gives upper and lower bounds of the consensus time. Our results cover many previous results on specific processes, for example, best‐of‐two (a.k.a. 2Choices) and best‐of‐three (a.k.a. 3Majority), as special cases. Our key ingredient is a nonlinear extension of the expander mixing lemma, which enables us to estimate expected and variance changes in opinions of quasi‐majority functional voting on expander graphs.

Country
Germany
Keywords

FOS: Computer and information sciences, consensus problem, Discrete Mathematics (cs.DM), Markov chain, Probability (math.PR), 004, FOS: Mathematics, Voting theory, Distributed voting, distributed voting, expander graph, Mathematics - Probability, Computer Science - Discrete Mathematics, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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