HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Combining Text-mining Analysis and Agent-based Modeling Methods: A Case Study to Address a Controversy

Abstract : The methodological approach proposed here combines textual statistical analysis and agent-based simulations. The controversy concerning the unusual disappearance of pollinating bees (Apis mellifera) covered in the French press over a period of 13 years was chosen to describe the different stages of this heuristic framework. First, the articles are categorized according to the origin they attribute to the phenomenon as a univariate cause, a multivariate cause or a lack of understanding. Then, the different proportions of agents supporting either of these causes are obtained and reproduced from a dynamic opinion model, which shows the existence of agents with pre-determined choices. The change in the proportions over time leads to questionning the consistency of the data concerning the independence of all agents. In particular, it becomes possible to assume the existence of networks of influence, a hypothesis that could be verified by other techniques such as qualitative, ethnographic or interview methods.
Complete list of metadata

Contributor : Spire Sciences Po Institutional Repository Connect in order to contact the contributor
Submitted on : Monday, March 14, 2022 - 3:15:33 PM
Last modification on : Wednesday, March 16, 2022 - 3:15:53 AM



Alexandre Delanoë, Serge Galam. Combining Text-mining Analysis and Agent-based Modeling Methods: A Case Study to Address a Controversy. Bulletin de Méthodologie Sociologique / Bulletin of Sociological Methodology, SAGE Publications, 2015, 126 (1), pp.84 - 98. ⟨10.1177/0759106315572560⟩. ⟨hal-03608128⟩



Record views