Measuring the latent quality of precedent: Scoring vertices in a network

John W. Patty; Elizabeth Maggie Penn; Keith E. Schnakenberg

doi:10.1007/978-3-642-35239-3_12

Measuring the latent quality of precedent: Scoring vertices in a network

John W. Patty
, Elizabeth Maggie Penn
, Keith E. Schnakenberg

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

In this chapter, we consider the problem of estimating the latent influence of vertices of a network in which some edges are unobserved for known reasons. We present and employ a quantitative scoring method that incorporates differences in potential influence between vertices. As an example, we apply the method to rank Supreme Court majority opinions in terms of their citability, measured as the likelihood the opinion will be cited in future opinions. Our method incorporates the fact that future opinions cannot be cited in a present-day opinion. In addition, the method is consistent with the fact that a judicial opinion can cite multiple previous opinions.

Original language	English
Title of host publication	Advances in Political Economy
Subtitle of host publication	Institutions, Modelling and Empirical Analysis
Publisher	Springer-Verlag Berlin Heidelberg
Pages	249-262
Number of pages	14
Volume	9783642352393
ISBN (Electronic)	9783642352393
ISBN (Print)	3642352383, 9783642352386
DOIs	https://doi.org/10.1007/978-3-642-35239-3_12
State	Published - Oct 1 2013

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10.1007/978-3-642-35239-3_12

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abstract = "In this chapter, we consider the problem of estimating the latent influence of vertices of a network in which some edges are unobserved for known reasons. We present and employ a quantitative scoring method that incorporates differences in potential influence between vertices. As an example, we apply the method to rank Supreme Court majority opinions in terms of their citability, measured as the likelihood the opinion will be cited in future opinions. Our method incorporates the fact that future opinions cannot be cited in a present-day opinion. In addition, the method is consistent with the fact that a judicial opinion can cite multiple previous opinions.",

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Measuring the latent quality of precedent: Scoring vertices in a network. / Patty, John W.; Penn, Elizabeth Maggie; Schnakenberg, Keith E.
Advances in Political Economy: Institutions, Modelling and Empirical Analysis. Vol. 9783642352393 Springer-Verlag Berlin Heidelberg, 2013. p. 249-262.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Schnakenberg, Keith E.

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Y1 - 2013/10/1

N2 - In this chapter, we consider the problem of estimating the latent influence of vertices of a network in which some edges are unobserved for known reasons. We present and employ a quantitative scoring method that incorporates differences in potential influence between vertices. As an example, we apply the method to rank Supreme Court majority opinions in terms of their citability, measured as the likelihood the opinion will be cited in future opinions. Our method incorporates the fact that future opinions cannot be cited in a present-day opinion. In addition, the method is consistent with the fact that a judicial opinion can cite multiple previous opinions.

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Measuring the latent quality of precedent: Scoring vertices in a network

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