Affiliations: Departamento de Tecnologías de la Información, Universidad Autónoma Metropolitana – Cuajimalpa, Av. Vasco de Quiroga 4871, Col. Santa Fe Cuajimalpa, Delegación Cuajimalpa de Morelos, Ciudad de México, C.P. 05348, Mexico
Correspondence:
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Corresponding author. Rocío Abascal-Mena, Departamento de Tecnologías de la Información, Universidad Autónoma Metropolitana – Cuajimalpa, Av. Vasco de Quiroga 4871, Col. Santa Fe Cuajimalpa, Delegación Cuajimalpa de Morelos, Ciudad de México, C.P. 05348, Mexico. E-mail: mabascal@correo.cua.uam.mx.
Abstract: Given the immediacy of social networks, commonly called sociodigital networks, it is necessary to develop methods to retrieve and interpret visually and in an organized way large amounts of information. Although there are tools that classify the information by using a visualization, generally in form of graphs, the identification of the topics around an event remains complicated. This article describes the use of dendrograms, as a different visual representation, by analyzing the frequency of the terms used in the tweets as well as the relationship between them. Thus, the use of semantic dendrograms facilitates the immediate identification of themes and subtopics of a given event by showing a clustering of these in the form of a tree.
Keywords: Latent Semantic Analysis, dendrograms, social network analysis, Twitter, information visualization
