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Emergence of network effects and predictability in the judicial system
Enys Mones1, Piotr Sapieżyński2, Simon Thordal1
1Technical University of Denmark, DTU Compute, Lyngby, Denmark.
Network science reveals how citation patterns in the Court of Justice of the European Union evolve. Over time, citation network structure becomes more predictive than case content for future legal citations.
Area of Science:
- Legal informatics
- Network science
- Computational law
Background:
- Courts must balance self-consistency with adaptation to new legal challenges.
- A complex citation network forms between decided cases, reflecting judicial system dynamics.
Purpose of the Study:
- To analyze the citation network of the Court of Justice of the European Union (CJEU) using network science.
- To understand how citation patterns evolve and improve predictability over time.
Main Methods:
- Application of network science methods to the CJEU's case-to-case citation structure.
- Utilizing a link-prediction model to analyze citation evolution.
- Investigating the influence of case content versus network structure on citation prediction.
Main Results:
- The CJEU's citation network evolves to enhance the predictability of new citations.
- The predictive power of the citation network structure increases over time.
- The role of case document content in prediction decreases over time.
Conclusions:
- Citation network structure is a key factor in judicial system evolution and predictability.
- The study validates existing citations and suggests potential future citations within the CJEU.
- Network science offers valuable insights into the dynamics of legal decision-making.
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