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Understanding Distance Measures Among Elections

Niclas Boehmer, Piotr Faliszewski, Rolf Niedermeier, Stanis{\l}aw Szufa and Tomasz W\k{a}s

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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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