Villa-Vialaneix, Nathalie, Sibertin-Blanc, Christophe and Roggero, Pascal (2014) Statistical exploratory analysis of agent-based simulations in a social context. Case Studies in Business, Industry and Government Statistics, vol.5 (n°2). pp. 132-149.

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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.

Item Type: Article
Language: English
Date: 2014
Refereed: Yes
Uncontrolled Keywords: Agent-based Modeling, Self-organization maps, Typology, Social Simulation, Organizational Behavior, SocLab
Subjects: F- SCIENCES HUMAINES > F2- Sociologie
Divisions: Institut du Droit de l'Espace, des Territoires, de la Culture et de la Communication (Toulouse)
Site: UT1
Date Deposited: 01 Apr 2016 12:23
Last Modified: 02 Apr 2021 15:51
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