Study of Competition in the Textile Sector by Twitter Social Network Analysis

Ana Belen Gil Gonzalez (), Angel Luis Blanco Mateos (), Fernando De la Prieta () and Ana De Luis Reboredo ()
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Ana Belen Gil Gonzalez: University of Salamanca
Angel Luis Blanco Mateos: University of Salamanca
Fernando De la Prieta: University of Salamanca
Ana De Luis Reboredo: University of Salamanca

Revista Internacional de Gestión del Conocimiento y la Tecnología (GECONTEC), 2018, vol. 6, issue 1, 101-117

Abstract: Social networks have become a place where brands or companies are advertised to increase their market share. The companies allocate resources to hire community managers that disseminate quality content and perform customer service tasks. This article presents the development of a tweet retrieval tool and user account information to generate simulation and a strategic analysis of a set of competitors in the Twitter social network during a period of three months. A collection of tweets related to four related textile brands has been obtained. The information retrieval process is done using Python to access the Twitter REST service whose results are indexed using Elasticsearch. Once the data is arranged, Kibana is used to create an interactive panel, with different visualizations, that helps to extract the information hidden in the data, proposing different alternatives, its advantages and its disadvantages.

Keywords: Information retrieval (IR); Information visualization; Competitive analysis; Textile industry; Social networks; Twitter; digital marketing (search for similar items in EconPapers)
JEL-codes: D8 D81 M1 M15 O3 O31 O32 (search for similar items in EconPapers)
Date: 2018
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