Emergence of network effects and predictability in the judicial system

Abstract As courts strive to simultaneously remain self-consistent and adapt to new legal challenges, a complex network of of citations between decided cases is established. Using network science methods to analyze the underlying patterns of citations between cases can help us understand the large-s...

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Autores principales:	Enys Mones, Piotr Sapieżyński, Simon Thordal, Henrik Palmer Olsen, Sune Lehmann
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9485b27e0c294aab8114ba9e2171cc67
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spelling	oai:doaj.org-article:9485b27e0c294aab8114ba9e2171cc672021-12-02T10:44:16ZEmergence of network effects and predictability in the judicial system10.1038/s41598-021-82430-x2045-2322https://doaj.org/article/9485b27e0c294aab8114ba9e2171cc672021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82430-xhttps://doaj.org/toc/2045-2322Abstract As courts strive to simultaneously remain self-consistent and adapt to new legal challenges, a complex network of of citations between decided cases is established. Using network science methods to analyze the underlying patterns of citations between cases can help us understand the large-scale mechanisms which shape the judicial system. Here, we use the case-to-case citation structure of the Court of Justice of the European Union to examine this question. Using a link-prediction model, we show that over time the complex network of citations evolves in a way which improves our ability to predict new citations. Investigating the factors which enable prediction over time, we find that the content of the case documents plays a decreasing role, whereas both the predictive power and significance of the citation network structure itself show a consistent increase over time. Finally, our analysis enables us to validate existing citations and recommend potential citations for future cases within the court.Enys MonesPiotr SapieżyńskiSimon ThordalHenrik Palmer OlsenSune LehmannNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Enys Mones Piotr Sapieżyński Simon Thordal Henrik Palmer Olsen Sune Lehmann Emergence of network effects and predictability in the judicial system
description	Abstract As courts strive to simultaneously remain self-consistent and adapt to new legal challenges, a complex network of of citations between decided cases is established. Using network science methods to analyze the underlying patterns of citations between cases can help us understand the large-scale mechanisms which shape the judicial system. Here, we use the case-to-case citation structure of the Court of Justice of the European Union to examine this question. Using a link-prediction model, we show that over time the complex network of citations evolves in a way which improves our ability to predict new citations. Investigating the factors which enable prediction over time, we find that the content of the case documents plays a decreasing role, whereas both the predictive power and significance of the citation network structure itself show a consistent increase over time. Finally, our analysis enables us to validate existing citations and recommend potential citations for future cases within the court.
format	article
author	Enys Mones Piotr Sapieżyński Simon Thordal Henrik Palmer Olsen Sune Lehmann
author_facet	Enys Mones Piotr Sapieżyński Simon Thordal Henrik Palmer Olsen Sune Lehmann
author_sort	Enys Mones
title	Emergence of network effects and predictability in the judicial system
title_short	Emergence of network effects and predictability in the judicial system
title_full	Emergence of network effects and predictability in the judicial system
title_fullStr	Emergence of network effects and predictability in the judicial system
title_full_unstemmed	Emergence of network effects and predictability in the judicial system
title_sort	emergence of network effects and predictability in the judicial system
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9485b27e0c294aab8114ba9e2171cc67
work_keys_str_mv	AT enysmones emergenceofnetworkeffectsandpredictabilityinthejudicialsystem AT piotrsapiezynski emergenceofnetworkeffectsandpredictabilityinthejudicialsystem AT simonthordal emergenceofnetworkeffectsandpredictabilityinthejudicialsystem AT henrikpalmerolsen emergenceofnetworkeffectsandpredictabilityinthejudicialsystem AT sunelehmann emergenceofnetworkeffectsandpredictabilityinthejudicialsystem
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Emergence of network effects and predictability in the judicial system

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