Twitter Users’ Emotion, Emoticons and Scaling Metrics Based Categoric Interaction Analysis

Year 2018, Volume: 2 Issue: 2, 10 - 18, 28.12.2018

Hafzullah İş Taner Tuncer

Abstract

The popularity and use of social networks has
also begun to increase in parallel with the worldwide increasing accessibility
and means of access to the Internet. As one of the world's most popular social
networks, Twitter is a platform where users are interacting through follow-up,
sharing, messaging and appreciation tools, sharing their ideas and emotions in
a variety of individual and corporate contexts. Therefore, Twitter is intense,
dynamic and always an up-to-date data source. Identifying and correlating the
physical and emotional interaction of users can be valuable in political,
social, academic and commercial aspects. Users' physical networking with each
other and emotional analysis can be done with many tools and applications. The
character, tendency and impact analysis of the users can be used in the
development of business intelligence applications and in the determination of
social strategies. In this study, a large Twitter user group is
divided into four categories: political, Entertainment, Sports, Trade Marks.
Then, the physical and emotional interaction of each category was
revealed.  The Physical interaction
metrics determined as centrality, intensity, reciprocity and modularity while
emotional interaction metrics were determined as resistance, passion, reach and
emotionality. Positive, negative and neutral states of sharing were discussed
in emotional measurement. Beside that, emoji-containing tweets have been
transformed into texts and are especially included in emotion analysis. After all
the metrics were calculated, physical and emotional interaction structures and
overlap rates were revealed using "Interaction and Semantic Clustering
Based Multinetwork Analysis" method.

Keywords

Twitter, Impact Quality Scaling Criteria, Semantic and Emotion Analysis, Interaction Analysis

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