Distances Between Top-Truncated Elections of Different Sizes
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.
Authors
- Piotr Faliszewski (ORCID: https://orcid.org/0000-0002-0332-4364)
- Stanisław Szufa (ORCID: https://orcid.org/0000-0001-6301-6227)
- Tomasz Wąs (ORCID: https://orcid.org/0000-0003-3492-6584)
- Jitka Mertlová
- Pierre Nunn
Institutions
- Centre National de la Recherche Scientifique (FR)
- Atlantic General Hospital (US)
- University of Oxford (GB)
- Lamsade (FR)
- Czech Technical University in Prague (CZ)
- Université de Rennes (FR)
- Université Paris Dauphine-PSL (FR)
- AGH University of Krakow (PL)
Publication Details
- Journal
- Proceedings of the AAAI Conference on Artificial Intelligence
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1609/aaai.v39i13.33511
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- České Vysoké Učení Technické v Praze
- European Commission
- Agence Nationale de la Recherche
- Fundacja na rzecz Nauki Polskiej
- Engineering and Physical Sciences Research Council