Your browser doesn't support javascript.
loading
Coalitions in international litigation: a network perspective.
Mastrandrea, R; Antuofermo, G; Ovadek, M; Yeung, T Y-C; Dyevre, A; Caldarelli, G.
Afiliación
  • Mastrandrea R; IMT Alti Studi Lucca, Piazza S. Francesco 19, 55100 Lucca, Italy.
  • Antuofermo G; Centro Studi Giuridici Francesco Carrara, Lucca, Italy.
  • Ovadek M; Centre for Empirical Jurisprudence, University of Leuven, Tiensestraat 45, 3000 Leuven, Belgium.
  • Yeung TY; Centre for Empirical Jurisprudence, University of Leuven, Tiensestraat 45, 3000 Leuven, Belgium.
  • Dyevre A; Centre for Empirical Jurisprudence, University of Leuven, Tiensestraat 45, 3000 Leuven, Belgium.
  • Caldarelli G; DSMN Ca'Foscari, University of Venice, Via Torino 155, 30171 Venezia Mestre, Italy.
Philos Trans A Math Phys Eng Sci ; 382(2270): 20230158, 2024 Apr 15.
Article en En | MEDLINE | ID: mdl-38403063
ABSTRACT
We apply network science principles to analyse the coalitions formed by European Union nations and institutions during litigation proceedings at the European Court of Justice. By constructing Friends and Foes networks, we explore their characteristics and dynamics through the application of cluster detection, motif analysis and duplex analysis. Our findings demonstrate that the Friends and Foes networks exhibit disassortative behaviour, highlighting the inclination of nodes to connect with dissimilar nodes. Furthermore, there is a correlation among centrality measures, indicating that member states and institutions with a larger number of connections play a prominent role in bridging the network. An examination of the modularity of the networks reveals that coalitions tend to align along regional and institutional lines, rather than national government divisions. Additionally, an analysis of triadic binary motifs uncovers a greater level of reciprocity within the Foes network compared to the Friends network. This article is part of the theme issue 'A complexity science approach to law and governance'.
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2024 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2024 Tipo del documento: Article País de afiliación: Italia