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

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

ISSN: 2255-5684

Year of publication: 2018

Volume: 6

Issue: 1

Pages: 101-117

Type: Article

More publications in: GECONTEC: revista Internacional de Gestión del Conocimiento y la Tecnología


Índice Dialnet de Revistas

  • Year 2018
  • Journal Impact: 0.070
  • Field: ECONOMÍA Quartile: C3 Rank in field: 102/171


  • Social Sciences: C

Journal Citation Indicator (JCI)

  • Year 2018
  • Journal Citation Indicator (JCI): 0.02
  • Best Quartile: Q4
  • Area: MANAGEMENT Quartile: Q4 Rank in area: 368/377


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.

Bibliographic References

  • Castañeda, L. & Gutiérrez, I. (2010). Redes sociales y otros tejidos online para conectar personas. Aprendizaje con Redes Sociales. Tejidos educativos en los nuevos entornos. Sevilla: MAD Eduforma.
  • Celeste Lyn Paul, Randall Rohrer, Bohdan Nebesh, (2015) "A "Design First" Approach to Visualization Innovation", Computer Graphics and Applications IEEE, vol. 35, pp. 12-18, ISSN 0272-1716.
  • David Easley & Jon Kleinberg. (2010). Networks, Crowds, And Markets: Reasoning About A Highly Connected World by Cambridge University Press, 2010, 744 pp. ISBN: 0521 195330
  • Newman, M. E. J. (2006). Modularity and community structure in networks. Proceedings of the National Academy of Sciences of the United States of America, 103(23), 8577–8582.