Unknown

Dataset Information

0

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.

SUBMITTER: Mones E 

PROVIDER: S-EPMC7854739 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC5417414 | biostudies-literature
| S-EPMC3084045 | biostudies-literature
| S-EPMC4391948 | biostudies-literature
| S-EPMC7728268 | biostudies-literature
| S-EPMC3583169 | biostudies-other
| S-EPMC6775219 | biostudies-literature
| S-EPMC7736284 | biostudies-literature
| S-EPMC11296336 | biostudies-literature
| S-EPMC5988918 | biostudies-literature
| S-EPMC7177643 | biostudies-literature