Temporal Evolution of Topics on Twitter

Daniel Pereira, Wladmir Brandão, Mark Song

2022

Abstract

Social networks became an environment where users express their feeling and share news in real-time. But analyzing the content produced by the users is not simple, considering the number of posts. It is worthy to understand what is being expressed by users to get insights about companies, public figures, and news. To the best of our knowledge, the state-of-the-art lacks proposing studies about how the topics discussed by social network users change over time. In this context, this work measure how topics discussed on Twitter vary over time. We used Formal Concept Analysis to measure how these topics were varying, considering the support and confidence metrics. We tested our solution on two case studies, first using the RepLab 2013 and second creating a database with tweets that discuss vaccines in Brazil. The result confirms that is possible to understand what Twitter users were discussing and how these topics changed over time. Our work benefits companies who want to analyze what users are discussing about them.

Paper Citation

in Harvard Style

Pereira D., Brandão W. and Song M. (2022). Temporal Evolution of Topics on Twitter. In Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-613-2, pages 113-119. DOI: 10.5220/0011524500003318

in Bibtex Style

@conference{webist22,
author={Daniel Pereira and Wladmir Brandão and Mark Song},
title={Temporal Evolution of Topics on Twitter},
booktitle={Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2022},
pages={113-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011524500003318},
isbn={978-989-758-613-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Temporal Evolution of Topics on Twitter
SN - 978-989-758-613-2
AU - Pereira D.
AU - Brandão W.
AU - Song M.
PY - 2022
SP - 113
EP - 119
DO - 10.5220/0011524500003318