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

Hafzullah İŞ; Taner TUNCER

Makale detayları

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

Yazarlar:

Hafzullah İŞ | Taner TUNCER

Yayıncı:

Batman University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Engineering and Technology 2018 Vol.2 Issue 2, pp.10-18

Belge Tipi:

Makale

Yayın Tarihi:

12/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000739320

Sıklık:

Aylık

eISSN:

2619-9483

Özet:

 


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.




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Makale detayları

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

Yazarlar: Hafzullah İŞ | Taner TUNCER

Yayıncı: Batman University

Ana Başlıklar: Uygulamalı fizik

Dergi: Journal of Engineering and Technology 2018 Vol.2 Issue 2, pp.10-18

Belge Tipi: Makale

Yayın Tarihi: 12/2018

Belge Dili: İngilizce

Document ID (Org No.): 2000739320

Sıklık: Aylık

eISSN: 2619-9483

Sayı

Yazarlar:

Hafzullah İŞ | Taner TUNCER

Yayıncı:

Batman University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Journal of Engineering and Technology 2018 Vol.2 Issue 2, pp.10-18

Belge Tipi:

Makale

Yayın Tarihi:

12/2018

Belge Dili:

İngilizce

Document ID (Org No.):

2000739320

Sıklık:

Aylık

eISSN:

2619-9483