Analysis of the Characteristics and Speed of Spread of the “FUNA” on Twitter

Sebastián Moreno (), Danilo Bórquez-Paredes and Valentina Martínez
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Sebastián Moreno: Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Viña del Mar 2520000, Chile
Danilo Bórquez-Paredes: Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Viña del Mar 2520000, Chile
Valentina Martínez: Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez, Viña del Mar 2520000, Chile

Mathematics, 2023, vol. 11, issue 7, 1-18

Abstract: The funa is a prevalent concept in Chile that aims to expose a person’s bad behavior, punish the aggressor publicly, and warn the community about it. Despite its massive use on the social networks of Chilean society, the real dissemination of funas among communities is unknown. In this paper, we extract, generate, analyze, and compare the Twitter social network’s spread of three tweets related to “funas” against three other trending topics, through the analysis of global network characteristics over time (degree distribution, clustering coefficient, hop plot, and betweenness centrality). As observed, funas have a specific behavior, and they disseminate as quickly as a common tweet or more quickly; however, they spread thanks to several network users, generating a cohesive group.

Keywords: funa; social network analysis; network structure analysis; information spreading on social media (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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