Title: Emotion-based topic impact on social media

Authors: Fernando H. Calderon Alvarado; Yi-Shin Chen

Addresses: Social Networks and Human Centered Computing Program, International Graduate Program, Institute of Information Science, Academia Sinica, 128, Academia Road, Sec. 2. Nankang, Taipei, 115, Taiwan ' Institute of Information Systems and Applications, Department of Computer Science, National Tsing Hua University, Hsinchu, 30010, Taiwan

Abstract: The increasing use of micro-blogging sites have made them very rich data repositories. Information generated is dynamic by nature, tied to temporal conditions and the subjectivity of its users. Everyday life experiences, discussions or events have a direct impact on the behaviours reflected in social networks. It has become important to asses to which degree are these interactions affecting a social group. A possibility is to analyse how impactful a topic is according to the behaviour presented on a social network over time. It is then necessary to develop methods that can contribute towards this task. Having identified a topic in social media, we can obtain a general summary of the emotions it is generating over a social group. We then propose a topic impact score which will be given to each topic based on how this emotions transition, for how many time they span and how many users they reach. This lays ground to quantify how impactful a topic is over a social group, specifically regarding events detected on twitter.

Keywords: social impact; influence; social media; emotion analysis; microblogs.

DOI: 10.1504/IJBDI.2018.088289

International Journal of Big Data Intelligence, 2018 Vol.5 No.1/2, pp.90 - 104

Received: 15 Apr 2016
Accepted: 31 Dec 2016

Published online: 01 Dec 2017 *

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