User profiling of the Twitter Social Network during the impeachment of Brazilian President

• Published in: Social network analysis and mining Vol. 8; no. 1; p. 5
• Main Authors: de França, Fabrício Olivetti, Goya, Denise Hideko, de Camargo Penteado, Claudio Luís
• Format: Journal Article
• Language: English
• Published: Vienna Springer Vienna 01.12.2018; Springer Nature B.V
• Subjects: Activists; Applications of Graph Theory and Complex Networks; Case Report; Computer Science; Data collection; Data Mining and Knowledge Discovery; Economics; Game Theory; Humanities; Impeachment; Journalists; Law; Methodology of the Social Sciences; Political activism; Popularity; Profiles; Random variables; Rousseff, Dilma; Segmentation; Social and Behav. Sciences; Social networks; Statistics for Social Sciences; Supporters; User profiles; Brazil; Analytics; Social network analysis; User profiling
• ISSN: 1869-5450; 1869-5469
• DOI: 10.1007/s13278-017-0482-x

The impeachment process that took place in Brazil in April, 2016, has generated a large amount of posts on the Social Networks. These posts came from ordinary people, journalists, traditional and independent media, politicians and supporters. The identification of the impact of this subject on each group of users can be an important analysis to verify the real interest of common Brazilian citizens on this matter. As such, we propose a way to segment the users into popular, activists and observers in order to filter out information and help us give a more detailed analysis of the event. The proposed segmentation may also help other studies related to the usage of Twitter during important events.