Understanding Distance Measures Among Elections
Niclas Boehmer,
Piotr Faliszewski,
Rolf Niedermeier,
Stanis{\l}aw Szufa and
Tomasz W\k{a}s
Papers from arXiv.org
Abstract:
Motivated by putting empirical work based on (synthetic) election data on a more solid mathematical basis, we analyze six distances among elections, including, e.g., the challenging-to-compute but very precise swap distance and the distance used to form the so-called map of elections. Among the six, the latter seems to strike the best balance between its computational complexity and expressiveness.
Date: 2022-05
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2205.00492
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