Dynamics of Topics Addressed on Twitter Via Cluster Evolution

• Priscila R. F. Rodrigues Federal University of Ceará (UFC)
• Ticiana Coelho da Silva Federal University of Ceará (UFC)
• Flávio R. C. Sousa Federal University of Ceará (UFC)
• Regis P. Magalhães Federal University of Ceará (UFC)
• Jose A. F. de Macêdo Federal University of Ceará (UFC)

DOI: https://doi.org/10.5753/sbbd.2016.24320

Abstract

By monitoring and analyzing the subjects’ evolution of social network along time is of key importance for users or organizations responsible for decision making. This work focus on investigating the subjects transitions in social medias over time, aiming at achieving an overview and understanding of the motivations of such evolutions. Therefore, this paper proposes to monitor and analyze postings during time windows via clusters evolution. The experiments were performed using data obtained from the Twitter and demonstrate that the proposal is a promising solution to monitor subjects evolution patterns over time.

Keywords: Post Analysis, Evolution of Subjects, Evolution of Clusters

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