Thematic communities and image of french mass-market retailers in the media

Communautés thématiques et image des groupes de la grande distribution française dans les médias

Jérôme Baray (), Gérard Cliquet () and Yves Soulabail ()
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Jérôme Baray: IRG - Institut de Recherche en Gestion - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12 - Université Gustave Eiffel
Gérard Cliquet: IGR-IAE Rennes - Institut de Gestion de Rennes - Institut d'Administration des Entreprises - Rennes - UR - Université de Rennes, CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique
Yves Soulabail: ISTEC - Institut supérieur des Sciences, Techniques et Economie Commerciales - ISTEC

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Abstract: The object of this research is the analysis of the image of mass distribution in France through the prism of the 13,138 press articles most consulted through the prism of social networks over the period March 2019 - February 2020. The method called here « Whisper Method © » used is based on (1) the harvesting of these articles, (2) the semantic analysis and the identification of thematic communities thanks to the Louvain algorithm, (3) the visual representation of the corresponding graph optimized by the algorithm Force Atlas 2 graphic. Six thematic communities have been highlighted, each corresponding to one or two distributors. A dynamic website created for the occasion makes it possible to view these results and to input personalized queries: http://section06.000webhostapp.com/grandedistri/

Keywords: Mass distribution; media; semantic analysis; thematic communities; Louvain algorithm; média; analyse sémantique; communautés thématiques; algorithme de Louvain; Grande distribution (search for similar items in EconPapers)
Date: 2020-10-15
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Published in 23e colloque Etienne THIL, Association Etienne Thil, Oct 2020, Paris, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02970974

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