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Analiza sieciowa orzecznictwa×Analiza powiązań przestępstw×
DziedzinaNauki sądoweNauki sądowe
RodzinaProcess / pipelineProcess / pipeline
Rok powstania20112002
TwórcaJames FowlerCraig Bennell
TypNetwork science and legal informatics methodCrime science and offender profiling method
Źródło pierwotneLupo, G., & Bailey, J. (2014). Artificial intelligence and legal practice. Academic Press. link ↗Bennell, C., Canter, D. V., & Alison, L. J. (2002). Linking commercial burglaries by modus operandi: Tests using regression and ROC analysis. Science and Justice, 42(3), 153-164. DOI ↗
Inne nazwycitation network analysis, legal precedent mapping, case law graph analysiscase linkage, offender linking, serial crime attribution
Pokrewne33
PodsumowanieNetwork 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.Crime linkage analysis is a forensic method that determines whether a series of crimes were committed by the same offender based on behavioral and modus operandi (MO) similarities. Developed systematically by Craig Bennell and colleagues in the early 2000s, crime linkage applies statistical and similarity-matching techniques to establish offender attribution. The method is essential in serial crime investigation, where establishing linkage enables consolidation of investigation resources, geographic profiling, and offender-focused surveillance.
ScholarGateZbiór danych
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  2. 3 Źródła
  3. PUBLISHED
  1. v1
  2. 3 Źródła
  3. PUBLISHED

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ScholarGatePorównaj metody: Network Analysis of Case Law · Crime Linkage Analysis. Pobrano 2026-06-20 z https://scholargate.app/pl/compare