Distances Between Top-Truncated Elections of Different Sizes
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866912848558424064 |
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| author | Faliszewski, Piotr Mertlová, Jitka Nunn, Pierre Szufa, Stanisław Wąs, Tomasz |
| author_facet | Faliszewski, Piotr Mertlová, Jitka Nunn, Pierre Szufa, Stanisław Wąs, Tomasz |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_17931 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Distances Between Top-Truncated Elections of Different Sizes Faliszewski, Piotr Mertlová, Jitka Nunn, Pierre Szufa, Stanisław Wąs, Tomasz Computer Science and Game Theory 91B14 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. |
| title | Distances Between Top-Truncated Elections of Different Sizes |
| topic | Computer Science and Game Theory 91B14 |
| url | https://arxiv.org/abs/2601.17931 |