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2020 Disagreement networks
Florin Catrina, Brian Zilli
Involve 13(5): 803-822 (2020). DOI: 10.2140/involve.2020.13.803

Abstract

We first describe an observation based on an analysis of data regarding the outcomes of decisions in cases considered by the United States Supreme Court. Based on this observation, we propose a simple model aiming toward producing an objective notion of an ideology index. As an initial step in justifying this concept we produce explicit formulas for the highest-energy eigenvectors of reversible Markov chains with rank-2 transition matrices.

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Florin Catrina. Brian Zilli. "Disagreement networks." Involve 13 (5) 803 - 822, 2020. https://doi.org/10.2140/involve.2020.13.803

Information

Received: 29 September 2019; Revised: 18 June 2020; Accepted: 8 September 2020; Published: 2020
First available in Project Euclid: 22 December 2020

MathSciNet: MR4190439
Digital Object Identifier: 10.2140/involve.2020.13.803

Subjects:
Primary: 05C50, 60J20
Secondary: 91F10

Rights: Copyright © 2020 Mathematical Sciences Publishers

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Vol.13 • No. 5 • 2020
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