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

Sebastián Moreno; Danilo Bórquez-Paredes; Valentina Martínez

doi:10.3390/math11071749

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

Sebastián Moreno, Danilo Bórquez-Paredes, Valentina Martínez

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	1749
Journal	Mathematics
Volume	11
Issue number	7
DOIs	https://doi.org/10.3390/math11071749
State	Published - Apr 2023
Externally published	Yes

Keywords

funa
information spreading on social media
network structure analysis
social network analysis

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10.3390/math11071749

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title = "Analysis of the Characteristics and Speed of Spread of the “FUNA” on Twitter",

abstract = "The funa is a prevalent concept in Chile that aims to expose a person{\textquoteright}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{\textquoteright}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.",

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AB - 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.

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

Abstract

Keywords

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