Name
Abstract | ||
|---|---|---|
While the U.S. Supreme Court is commonly viewed as comprising a liberal bloc and a conservative bloc, with a possible swing vote or median justice between them, surprisingly many case decisions are not explained by this simple model. We introduce a pair of spatial methods for conceptualizing many 5-to-4 voting alignments that have occurred on the Court and which defy the usual liberal/conservative dichotomy. These methods, utilizing higher order Voronoi diagrams and halving lines (k-sets), are based on the geometry of the two-dimensional ideal space locations obtained from applying multidimensional scaling to voting data. We also introduce a two-dimensional metric method for determining the crucial fifth vote in each 5-to-4 ruling and for determining the median justice in any collection of terms within a natural court. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Computers and Society | Data mining,Mathematical economics,Supreme court,Voting,Multidimensional scaling,Computer science,Voronoi diagram,Liberalism,Swing |
DocType | Volume | Citations |
Journal | abs/1804.08059 | 1 |
PageRank | References | Authors |
0.39 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Noah Giansiracusa | 1 | 12 | 2.16 |
| Cameron Ricciardi | 2 | 1 | 0.39 |