How similar are two elections?

We introduce and study isomorphic distances between ordinal elections (with the same numbers of candidates and voters). The main feature of these distances is that they are invariant to renaming the candidates and voters, and two elections are at distance zero if and only if they are isomorphic. Specifically, we consider isomorphic extensions of distances between preference orders: Given such a distance d , we extend it to distance d - ID between elections by unifying candidate names and finding a matching between the votes, so that the sum of the d -distances between the matched votes is as small as possible. We show that testing isomorphism of two elections can be done in polynomial time so, in principle, such distances can be tractable. Yet, we show that two very natural isomorphic distances are NP-complete and hard to approximate. We attempt to rectify the situation by showing FPT algorithms for several natural parameterizations.

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Publication Details

Journal
Journal of Computer and System Sciences
Published
2025-02-03
DOI
https://doi.org/10.1016/j.jcss.2025.103632
Citations
1
Primary Topic
Game Theory and Voting Systems
Type
article
Field-Weighted Citation Impact
3.13

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article

How similar are two elections?

Piotr Faliszewski, Krzysztof Sornat, Stanisław Szufa, Arkadii Slinko et al.
1 citations
Journal of Computer and System Sciences
Game Theory and Voting Systems
3.13
article

How similar are two elections?

Piotr Faliszewski, Krzysztof Sornat, Stanisław Szufa, Arkadii Slinko, Piotr Skowron, Nimrod Talmon
article en
1 citations

Abstract

We introduce and study isomorphic distances between ordinal elections (with the same numbers of candidates and voters). The main feature of these distances is that they are invariant to renaming the candidates and voters, and two elections are at distance zero if and only if they are isomorphic. Specifically, we consider isomorphic extensions of distances between preference orders: Given such a distance d , we extend it to distance d - ID between elections by unifying candidate names and finding a matching between the votes, so that the sum of the d -distances between the matched votes is as small as possible. We show that testing isomorphism of two elections can be done in polynomial time so, in principle, such distances can be tractable. Yet, we show that two very natural isomorphic distances are NP-complete and hard to approximate. We attempt to rectify the situation by showing FPT algorithms for several natural parameterizations.

Journal of Computer and System SciencesVol. 150
Ben-Gurion University of the Negev (IL), University of Auckland (NZ), University of Warsaw (PL), AGH University of Krakow (PL)
Royal Society, European Commission, Royal Society Te Apārangi, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Fundacja na rzecz Nauki Polskiej, Narodowe Centrum Nauki, Akademia Górniczo-Hutnicza im. Stanislawa Staszica, European Research Council, Marsden Fund
Openalex Percentile: Top 10%
Game Theory and Voting Systems
3.13
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How similar are two elections? — Piotr Faliszewski, Krzysztof Sornat, et al. · Journal of Computer and System Sciences (2025) | TGRS Research Map | TGRS