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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