Ukrainian court decisions mapped in extensive citation analysis
A new study analyses over 100 million Ukrainian court decisions to map citation structures within the country's legal system. The research reveals how citation data can decode legal domain boundaries.
What happened?
Researchers have extracted half a billion citation links from 100.7 million Ukrainian court decisions, constituting the entire EDRSR register. The analysis, based on 99.5 million full texts totalling 1.1 TB, identified these links via regular expressions on standard hardware within approximately five hours. The method achieved a precision of 1.00 in a validation sample of 200 decisions.
Key facts
| Antal domstolsbeslut analyserade | 100,7 miljoner |
|---|---|
| Antal citeringslänkar extraherade | 502 miljoner |
| Total datavolym | 1,1 TB |
| Tid för länkextraktion | cirka 5 timmar |
| Precision vid länkextraktion | 1.00 |
”Half a billion citation edges extracted from 100.7 million Ukrainian court decisions reveal that judicial citation structure encodes legal domain boundaries without supervision and predicts future legislative importance with near-perfect accuracy.”
”We construct the first large-scale citation graph from the complete EDRSR registry (99.5 million full texts, 1.1 TB), extracting 502 million citation links across six types via regex on commodity hardware in approximately 5 hours, with precision of 1.00 on a 200-decision validati”
”The degree distribution follows a power law (alpha = 1.57 +/- 0.008), placing the Ukrainian court network near the EU Court of Justice and below the US Supreme Court, with hub articles cited by millions of decisions.”
Why it matters
The study's results show that the legal citation structure, without external supervision, can define boundaries for legal domains such as civil law, criminal law, and administrative law. Topological analysis also reveals that the network's degree distribution follows a power law, similar to other major legal systems. This insight can contribute to a deeper understanding of the organisation of legal ecosystems.
Who is affected?
Researchers in law and computer science are affected by the methods and results. Jurists and lawyers can potentially benefit from the insights offered by the mapped citation structure, particularly regarding domain-specific navigation and case law analysis. Developers of legal information systems may also find the study relevant for improving search and analysis functionality.
What else you should know
This research marks the first large-scale construction of a citation network from the Ukrainian judiciary, encompassing an exceptionally large data set. The precision in link extraction was very high.
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