Justifying groups in multiwinner approval voting

Edith Elkind, Piotr Faliszewski, Ayumi Igarashi, Pasin Manurangsi, Ulrike Schmidt-Kraepelin, Warut Suksompong*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Justified representation (JR) is a standard notion of representation in multiwinner approval voting. Not only does a JR committee always exist, but previous work has also shown through experiments that the JR condition can typically be fulfilled by groups of fewer than k candidates, where k is the target size of the committee. In this paper, we study such groups—known as n/k-justifying groups—both theoretically and empirically. First, we show that under the impartial culture model, n/k-justifying groups of size less than k/2 are likely to exist, which implies that the number of JR committees is usually large. We then present efficient approximation algorithms that compute a small n/k-justifying group for any given instance, and a polynomial-time exact algorithm when the instance admits a tree representation. In addition, we demonstrate that small n/k-justifying groups can often be useful for obtaining a gender-balanced JR committee even though the problem is NP-hard.

Original languageEnglish (US)
Article number114039
JournalTheoretical Computer Science
Volume969
DOIs
StatePublished - Aug 21 2023

Funding

This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 101002854 ), from the Deutsche Forschungsgemeinschaft under grant BR 4744/2-1 , from JST PRESTO under grant number JPMJPR20C1 , from the Singapore Ministry of Education under grant number MOE-T2EP20221-0001 , and from an NUS Start-up Grant. We would like to thank the anonymous SAGT 2022 and Theoretical Computer Science reviewers for their valuable comments.

Keywords

  • Computational social choice
  • Justified representation
  • Multiwinner voting

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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