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
APA
Vancouver
Author
Bibtex
}
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