ICAIL 2013: International Conference on Artificial Intelligence and Law, is being held 10-14 June 2013 in Rome, Italy.
Posts Tagged ‘Legal network analysis’
Professor Dr. Monica Palmirani, Professor Dr. Ugo Pagallo, Professor Dr. Pompeu Casanovas, and Professor Dr. Giovanni Sartor, have edited a new book entitled AI Approaches to the Complexity of Legal Systems – Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents (Springer, 2012).
The book contains revised selected papers from International Workshop AICOL-III, Held as Part of the 25th IVR Congress, Frankfurt am Main, Germany, August 15-16, 2011.
HT Professor Palmirani
Dr. Romain Boulet of UMR ESPACE-DEV, IRD; Dr. Pierre Mazzega of UnB/IRD and UPS (OMP), CNRS, IRD; and Dr. Danièle Bourcier of CERSA CNRS, have published A network approach to the French system of legal codes—part I: analysis of a dense network, Artificial Intelligence and Law, 19, 333-355 (2011). Here is the abstract:
We explore one aspect of the structure of a codified legal system at the national level using a new type of representation to understand the strong or weak dependencies between the various fields of law. In Part I of this study, we analyze the graph associated with the network in which each French legal code is a vertex and an edge is produced between two vertices when a code cites another code at least one time. We show that this network distinguishes from many other real networks from a high density, giving it a particular structure that we call concentrated world and that differentiates a national legal system (as considered with a resolution at the code level) from small-world graphs identified in many social networks. Our analysis then shows that a few communities (groups of highly wired vertices) of codes covering large domains of regulation are structuring the whole system. Indeed we mainly find a central group of influent codes, a group of codes related to social issues and a group of codes dealing with territories and natural resources. The study of this codified legal system is also of interest in the field of the analysis of real networks. In particular we examine the impact of the high density on the structural characteristics of the graph and on the ways communities are searched for. Finally we provide an original visualization of this graph on an hemicyle-like plot, this representation being based on a statistical reduction of dissimilarity measures between vertices. In Part II (a following paper) we show how the consideration of the weights attributed to each edge in the network in proportion to the number of citations between two vertices (codes) allows deepening the analysis of the French legal system.