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

  1. Ana Belén Gil-González 1
  2. Angel Luis Blanco-Mateos 1
  3. Fernando De la Prieta 1
  4. Ana de Luis-Reboredo 1
  1. 1 Universidad de Salamanca, España
Revista:
GECONTEC: revista Internacional de Gestión del Conocimiento y la Tecnología

ISSN: 2255-5684

Any de publicació: 2018

Volum: 6

Número: 1

Pàgines: 101-117

Tipus: Article

Altres publicacions en: GECONTEC: revista Internacional de Gestión del Conocimiento y la Tecnología

Resum

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.

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