Visualizing and uncovering meaning in Twitter networks using NodeXL

Authors

  • Koldobika Meso Ayerdi Universidad del País Vasco/Euskal Herriko Unibertsitatea
  • Jesus Perez Dasilva Universidad del País Vasco/Euskal Herriko Unibertsitatea
  • Terese Mendiguren Galdospin Universidad del País Vasco/Euskal Herriko Unibertsitatea
  • Simon Peña Fernandez Universidad del País Vasco/Euskal Herriko Unibertsitatea

Abstract

This article uses Social Network Analysis (ARS) as a methodological tool to visualize the structures of network relationships, discover semantic networks and identify the main actors that dynamize a conversation around a topic on the Twitter platform. This study takes as an example what happened in the Cavalcade of Andoain, a small town in Gipuzkoa, in January 2019 that became one of the most talked about topics on social networks and in the media.

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Published

2020-09-17

How to Cite

Meso Ayerdi, K., Perez Dasilva, J., Mendiguren Galdospin, T., & Peña Fernandez, S. (2020). Visualizing and uncovering meaning in Twitter networks using NodeXL. Textual & Visual Media, 1(12). Retrieved from https://textualvisualmedia.com/index.php/txtvmedia/article/view/245