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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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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.
| 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 |
| URI: | https://publications.ut-capitole.fr/id/eprint/20257 |
