Green energyidentifying development trends in society using Twitter data mining to make strategic decisions

  1. Zarrabeitia-Bilbao, Enara 1
  2. Morales-i-Gras, Jordi 1
  3. Río-Belver, Rosa-María 1
  4. Garechana-Anacabe, Gaizka 1
  1. 1 Universidad del País Vasco/Euskal Herriko Unibersitatea
Revista:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Año de publicación: 2022

Título del ejemplar: 50 años de estudios universitarios de Comunicación en España/ 50 years of university communication studies in Spain

Volumen: 31

Número: 1

Tipo: Artículo

DOI: 10.3145/EPI.2022.ENE.14 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: El profesional de la información

Resumen

Este estudio analiza la contribución de Twitter a la energía verde. Se estudiaron más de 200.000 tweets globales enviados durante 2020 que contenían los términos "green energy" o "greenenergy". Los tweets se capturaron mediante web scraping y se procesaron utilizando algoritmos y técnicas para el análisis de conjuntos de datos masivos de redes sociales. En particular, se determinaron las relaciones entre los usuarios (a través de las menciones) según el algoritmo Louvain multilevel para identificar comunidades y analizar métricas tanto a nivel global (densidad y centralización) como a nivel de nodos (centralidad). Posteriormente, el contenido de la conversación se sometió a un análisis semántico (co-ocurrencia de las palabras más relevantes), a un análisis de hashtags (análisis de frecuencia) y a un análisis de sentimiento (mediante el modelo Vader). Los resultados revelan 9 comunidades principales e identifica sus líderes, los 3 temas principales de conversación y el estado emocional de la discusión digital. Las citadas comunidades giran en torno a la política, las cuestiones socioeconómicas y el activismo medioambiental, mientras que el contenido de las conversaciones, se desarrolla mayoritariamente en términos positivos, y se centra en las fuentes de energía verde y su almacenamiento, estando alineadas con las principales comunidades identificadas, es decir, con cuestiones políticas, socioeconómicas y de cambio climático. Aunque la mayoría de las conversaciones han versado sobre temas socioeconómicos, la presencia de relatos de empresas líderes ha sido menor. El objetivo principal de este trabajo es dar los primeros pasos hacia una metodología innovadora de inteligencia competitiva para estudiar y determinar las tendencias de diferentes campos científicos o tecnológicos en la sociedad que permita la toma de decisiones estratégicas.

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