Emergence of network effects and predictability in the judicial system

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Standard

Emergence of network effects and predictability in the judicial system. / Olsen, Henrik Palmer; lehmann, sune; Mones, Enys; Sapiezynski, Piotr; Thordal, Simon.

I: Scientific Reports, Bind 11, Nr. 1, 2740, 02.02.2021, s. 1-10.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Olsen, HP, lehmann, S, Mones, E, Sapiezynski, P & Thordal, S 2021, 'Emergence of network effects and predictability in the judicial system', Scientific Reports, bind 11, nr. 1, 2740, s. 1-10. https://doi.org/10.1038/s41598-021-82430-x

APA

Olsen, H. P., lehmann, S., Mones, E., Sapiezynski, P., & Thordal, S. (2021). Emergence of network effects and predictability in the judicial system. Scientific Reports, 11(1), 1-10. [2740]. https://doi.org/10.1038/s41598-021-82430-x

Vancouver

Olsen HP, lehmann S, Mones E, Sapiezynski P, Thordal S. Emergence of network effects and predictability in the judicial system. Scientific Reports. 2021 feb. 2;11(1):1-10. 2740. https://doi.org/10.1038/s41598-021-82430-x

Author

Olsen, Henrik Palmer ; lehmann, sune ; Mones, Enys ; Sapiezynski, Piotr ; Thordal, Simon. / Emergence of network effects and predictability in the judicial system. I: Scientific Reports. 2021 ; Bind 11, Nr. 1. s. 1-10.

Bibtex

@article{4324827bceb4448a893c11003b443f12,

title = "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-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.",

author = "Olsen, {Henrik Palmer} and sune lehmann and Enys Mones and Piotr Sapiezynski and Simon Thordal",

year = "2021",

month = feb,

day = "2",

doi = "10.1038/s41598-021-82430-x",

language = "English",

volume = "11",

pages = "1--10",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "nature publishing group",

number = "1",

}

RIS

TY - JOUR

T1 - Emergence of network effects and predictability in the judicial system

AU - Olsen, Henrik Palmer

AU - lehmann, sune

AU - Mones, Enys

AU - Sapiezynski, Piotr

AU - Thordal, Simon

PY - 2021/2/2

Y1 - 2021/2/2

N2 - 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.

AB - 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.

U2 - 10.1038/s41598-021-82430-x

DO - 10.1038/s41598-021-82430-x

M3 - Journal article

C2 - 33531551

VL - 11

SP - 1

EP - 10

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 2740

ER -

ID: 240058205