Rutgers New Brunswick/Piscataway Campus
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RUTCOR Colloquia - June 8, 2006


Speaker: Isabella Lari
Affiliation: Dept. of Statistics, La Sapienza University, Rome, Italy
Title: Most biased connected equipartitions of bicolored graphs - or, how to win elections
Time: 1:30 - 2:30 PM
Location: RUTCOR Building - Room 139, Rutgers University, Busch Campus, Piscataway, NJ


Abstract:

This study is motivated by an electoral application where we look into the following question: how biased can the assignment of parliament seats be in a majority system under the effect of vicious gerrymandering when the two competing parties have the same electoral strength?

To give a first theoretical answer to this question, we introduce a stylized combinatorial model, where the territory is represented by a rectangular grid graph, the vote outcome by a "balanced" red-blue node-bicoloring and a district map by a connected partition whose components all have the same size. We constructively prove the existence of a balanced bicoloring and of two antagonist "partisan" district maps such that the discrepancy between their number of "red" (or "blue") districts for that bicoloring is extremely large, in fact as large as allowed by color balance.

Joint work with N. Apollonio, R.I. Becker, F. Ricca and B. Simeone.


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