@article{publications20257,
          volume = {vol.5},
          number = {n?2},
          author = {Nathalie Villa-Vialaneix and Christophe Sibertin-Blanc and Pascal Roggero},
           title = {Statistical exploratory analysis of agent-based simulations 
in a social context},
       publisher = {Bentley University},
         journal = {Case Studies in Business, Industry and Government Statistics},
           pages = {132--149},
            year = {2014},
        keywords = {Agent-based Modeling, Self-organization maps, Typology, Social Simulation, Organizational Behavior, SocLab},
             url = {https://publications.ut-capitole.fr/id/eprint/20257/},
        abstract = {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.}
}