Distances Between Top-Truncated Elections of Different Sizes
Piotr Faliszewski, Jitka Mertlová, Pierre Nunn, Stanislaw Szufa, Tomasz Was
2025Year
3Citations
1Top-tier citations
Abstract
The map of elections framework is a methodology for visualizing and analyzing election datasets. So far, the framework was restricted to elections that have equal numbers of candidates, equal numbers of voters, and where all the (ordinal) votes rank all the candidates. We extend it to the case of elections of different sizes, where the votes can be top-truncated. We use our results to present a visualization of a large fragment of the Preflib database.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext b5aeea5e-cf2e-4fa6-95b1-42bc110b35b9Cited by top-tier papers1
Ask how each one uses itBuilds on4
- Expected Frequency Matrices of Elections: Computation, Geometry, and Preference LearningNiclas Boehmer, Robert Bredereck, Edith Elkind, Piotr Faliszewski et al.NeurIPS 2022 · 17 citations
- Ballot Length in Instant Runoff VotingKiran Tomlinson, Johan Ugander, Jon M. KleinbergAAAI 2023 · 15 citations
- Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an ExperimentalistNiclas Boehmer, Piotr Faliszewski, Sonja KraiczyICML 2023 · 13 citations
- Properties of Position Matrices and Their ElectionsNiclas Boehmer, Jin-Yi Cai, Piotr Faliszewski, Austen Z. Fan et al.AAAI 2023 · 7 citations
Related papers
- Proportional Representation in Practice: Quantifying Proportionality in Ordinal ElectionsTuva Bardal, Markus Brill, David McCune, Jannik PetersAAAI 2025 · 8 citations
- Comparing Election Methods Where Each Voter Ranks Only Few CandidatesMatthias Bentert, Piotr SkowronAAAI 2020 · 21 citations
- Watching the Election Sausage Get Made: How Data Journalists Visualize the Vote Counting Process in U.S. ElectionsMandi Cai, Matthew KayCHI 2024 · 5 citations
- Exact Learning of Preference Structure: Single-peaked Preferences and BeyondSonja Kraiczy, Edith ElkindICML 2022
- Identifying Imperfect Clones in ElectionsPiotr Faliszewski, Lukasz Janeczko, Grzegorz Lisowski, Kristýna Pekárková et al.AAAI 2026 · 1 citation
