Network Analysis of Case Law
Network analysis of case law applies graph-theoretic and network science methods to study the structure and dynamics of legal precedent systems. Developed systematically by James Fowler and colleagues in 2011, this method treats legal citations as directed edges in a network where nodes represent court decisions and edges represent precedent relationships. By analyzing the topology of these networks, researchers uncover patterns in how law evolves, which precedents are most influential, and how legal doctrine spreads across jurisdictions.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Lupo, G., & Bailey, J. (2014). Artificial intelligence and legal practice. Academic Press. · URL
- Fowler, J. H., Johnson, S. L., & Spriggs, J. F. (2011). Network analysis and the law: measuring the web of law. Journal of Empirical Legal Studies, 8(1), 171-198. · URL
- Bommarito, M., & Katz, D. M. (2012). Properties of the United States code: Network analysis and textual entropy. SSRN Electronic Journal. · URL
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.