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Network Analysis of the French Environmental Code
Boulet R., Mazzega P., Bourcier D.
Dans AI Approaches to the Complexity of Legal Systems. Complex Systems, the Semantic Web, Ontologies, Argumentation, and Dialogue - AI Approaches to the Complexity of Legal Systems (AICOL 2009), Rotterdam : Pays-Bas (2009) - http://hal.archives-ouvertes.fr/hal-00643730
Communications avec actes
Mathématiques/Mathématiques générales
Informatique/Intelligence artificielle
Sciences de l'Homme et Société/Droit
Network Analysis of the French Environmental Code
Romain Boulet ( , www.romainboulet.fr) 1, Pierre Mazzega () 1, Danièle Bourcier () 2
1 :  Laboratoire des Mécanismes et Transfert en Géologie (LMTG)
http://www.lmtg.obs-mip.fr/
CNRS : UMR5563 – Observatoire Midi-Pyrénées – Université Paul Sabatier [UPS] - Toulouse III – Institut de recherche pour le développement [IRD] : UMR154
14 avenue Edouard Belin 31400 Toulouse
France
2 :  Centre d'Etudes et de Recherches de Sciences Administratives et Politiques (CERSA)
www.cersa.cnrs.fr
CNRS : UMR7106 – Université Paris II - Panthéon-Assas
10, rue Thénard 75005 PARIS
France
We perform a detailed analysis of the network constituted by the citations in a legal code, we search for hidden structures and properties. The graph associated to the Environmental code has a small-world structure and it is partitioned in several hidden communities of articles that only partially coincide with the organization of the code as given by its table of content. Several articles are also connected with a low number of articles but are intermediate between large communities. The structure of the Environmental Code is contrasting with the reference network of all the French Legal Codes that presents a rich-club of ten codes very central to the whole French legal system, but no small-world property. This comparison shows that the structural properties of the reference network associated to a legal system strongly depends on the scale and granularity of the analysis, as is the case for many complex systems
Anglais

AI Approaches to the Complexity of Legal Systems. Complex Systems, the Semantic Web, Ontologies, Argumentation, and Dialogue
internationale
2010
6237
39-53
Springer
Pompeu Casanovas, Ugo Pagallo, Giovanni Sartor, Gianmaria Ajani
LNAI

AI Approaches to the Complexity of Legal Systems (AICOL 2009)
12/2009
Rotterdam
Pays-Bas

Legal complexity – graph theory – network analysis – Environmental Code – citation network.

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