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Periodicity Detection of Emotional Communities in Microblogging

  • Corrado LoglisciEmail author
  • Donato Malerba
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11946)

Abstract

Social media allow users convey emotions, which are often related to real-world events, social relationships or personal experiences. Indeed, emotions can determine the propension of the users to socialize or attend events. Similarly, interactions with people can influence the personality and feelings of the individuals. Therefore, studying emotional content generated by the users can reveal information on the behavior of users or collectives of users. However, such an information is related only to a specific moment when the emotions are sporadic or episodic, therefore they could have little usefulness. On the contrary, it can have greater significance tracing emotions over time and understanding whether they may appear with regularity or whether they are associated to behaviors already observed in past and could recur.

In this paper, we focus on the periodicity with which emotional words appear in the micro-blogs as indication of a collective emotional behavior expressed with regularity. We propose a computational solution that builds a cyberspace based on the emotional content produced by the users and determines communities of users who express with periodicity similar emotional behaviors. We show the viability of the method on the data of the social media platform Twitter and provide a quantitative evaluation and qualitative considerations.

Notes

Acknowledgments

This work fulfills the objectives the project “Computer-mediated collaboration in creative projects” (8GPS5R0) collocated in “Intervento cofinanziato dal Fondo di Sviluppo e Coesione 2007-2013 – APQ Ricerca Regione Puglia - Programma regionale a sostegno della specializzazione intelligente e della sostenibilita’ sociale ed ambientale - FutureInResearch”.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversita’ degli Studi di Bari “Aldo Moro”BariItaly
  2. 2.CINI - Consorzio Interuniversitario Nazionale per l’InformaticaRomeItaly

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