Type
Partie ou chapitre de livre
Titre
Discovering networks of actors behind the dynamics of opinion : A case study
Dans
Understanding Interactions in Complex Systems
Auteur(s)
DELANOË Alexandre - Centre d'analyse et de mathématique sociale (CNRS/EHESS) (Auteur)
GALAM Serge - Centre de recherches politiques de Sciences Po (Auteur)
DEBARSY Nicolas - (Directeur de publication ou de collection)
CORDIER Stéphane - (Directeur de publication ou de collection)
Éditeur
Newcastle upon Tyne : Cambridge Scholars Publishing
Pages
179 - 195 p.
ISBN
9781443894968
Mots clés
Public Opinion, Network, Actors
Résumé
EN
Text-mining analysis can describe evolutions of data, even big data, but between two points many curves can join them depending on the dynamics of the process. If statistics approximation can produce error estimation with tendencies, how modelling of dynamics opinion can produce networks estimations from the data ? This paper studies this research issue with the study case dealing with the controversy of abnormal death of bees among French speaking journalists during a period of 13 years. Articles are tagged with three stances to explain the phenomenon, a uni-factor cause, the use of pesticides, a multi-factor cause, including one other factor different than pesticides at least, or the absence of an understanding. On this basis, evolutions of the respective proportions of each category of agents are obtained. Assuming agents are either flexible or inflexible journalists about their respective reports of the facts, their associated networks are extracted from the data applying Galam Unifying Frame (GUF) of opinion dynamics. The variation of inflexible agents explaining the issue either with unifactor reasons or multifactor causes, is a result of the modelling. From those distributions the actual networks of agents can be inferred.

CITATION BIBLIOGRAPHIQUE
EXPORT