RT Journal Article
T1 Study of Competition in the Textile Sector by Twitter Social Network Analysis
A1 Gil-González, Ana Belén
A1 Blanco-Mateos, Angel Luis
A1 De la Prieta, Fernando
A1 de Luis-Reboredo, Ana
K1 Information retrieval (IR)
K1 Information visualization
K1 Competitive analysis
K1 Textile industry
K1 Social networks
K1 Twitter
K1 digital marketing
AB 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.
PB Universidad Pablo de Olavide
SN 2255-5684
YR 2018
FD 2018-02-20
LK http://hdl.handle.net/10433/10262
UL http://hdl.handle.net/10433/10262
LA en
NO GECONTEC: revista Internacional de Gestión del Conocimiento y la Tecnología, ISSN-e 2255-5684, Vol. 6, Nº. 1, 2018, págs. 101-117
NO URL del artículo en la web de la Revista: https://www.upo.es/revistas/index.php/gecontec/article/view/3311
NO Universidad Pablo de Olavide
DS RIO
RD May 22, 2026