%A Nathalie Villa-Vialaneix
%A Christophe Sibertin-Blanc
%A Pascal Roggero
%J Case Studies in Business, Industry and Government Statistics
%T Statistical exploratory analysis of agent-based simulations 
in a social context
%X This paper presents a case study for motivating the use of data mining in a social agent-based simulation framework. 
The data used in this article come from the social simulation platform SocLab. They were generated from a model designed to analyze a real situation related to the management of a river in the South West of France. Several standard statistical methods are used to analyze the possible outcomes of the discussion between the actors. Finally, a typology of these outcomes is obtained with a self-organizing map. The presentation is accessible to readers with an intermediate level of statistics.
%N n°2
%K Agent-based Modeling
%K Self-organization maps
%K Typology
%K Social Simulation
%K Organizational Behavior
%K SocLab
%P 132-149
%V vol.5
%D 2014
%I Bentley University
%L publications20257