mlsanityData to 14 Oct 2026

Agreement, Diversity, and Polarization Indices for Approval Elections

arXiv 2605.14983 ↗First posted 14 May 2026cs.GT cs.AI cs.CYcited by 0

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Abstract (arXiv)

An index is a function that given an election outputs a value between 0 and 1, indicating the extent to which this election has a particular feature. We seek indices that capture agreement, diversity, and polarization among voters in approval elections, and that are normalized with respect to saturation. By the latter we mean that if two elections differ by the fraction of candidates approved by an average voter, but otherwise are of similar nature, then they should have similar index values. We propose several indices, analyze their properties, and use them to (a) derive a new map of approval elections, and (b) show similarities and differences between various real-life elections from Pabulib, Preflib and other sources.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 12 of its 57 references that are in the map. First posted on arXiv 14 May 2026.

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12 of 57 references.

References · 12

  1. 2017Cooperative Game Theory Approaches for Network Partitioningcited by 135
  2. 2023Participatory Budgeting: Data, Tools, and Analysiscited by 13
  3. 2023Diversity, Agreement, and Polarization in Electionscited by 7
  4. 2023Approval-Based Committee Voting in Practice: A Case Study of (Over-)Representation in the Polkadot Blockchaincited by 7
  5. 2022How to Sample Approval Elections?cited by 4
  6. 2025Drawing a Map of Electionscited by 4
  7. 2025Diversity of Structured Domains via k-Kemeny Scorescited by 2
  8. 2026Distances Between Top-Truncated Elections of Different Sizescited by 2
  9. 2026Outer Diversity of Structured Domainscited by 2
  10. 2020Approval-Based Shortlistingcited by 1
  11. 2025A Linear Theory of Multi-Winner Votingcited by 1
  12. 2026Learning Real-Life Approval Electionscited by 1

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