Adang Rochiyat, Adang Rochiyat and Arief Wibowo, Arief Wibowo (2020) Analisis Aktor Berpengaruh Dan Aktor Popular Dengan Metode Degree Centrality Dan Follower Rank Pada Tagar Twitter “#gejayanmemanggil”. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 6 (2). pp. 130-138. ISSN ISSN 2407, E-ISSN 2503-2933
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Abstract
The use of Twitter as a social networking media is currently growing rapidly not only used to convey feelings about themselves but can also convey opinions and feelings they feel related to problems that are happening. Twitter is currently considered social media that can be analyzed on the elements of social networking (social network analysis). One study that can be done is the analysis of user accounts (actors) on Twitter. In this research, an analysis has been carried out to find out who the influential actor is and how popular the actor is, on Twitter. The method used for the analysis of influential actors is degree centrality while the analysis of popular actors uses the follower rank method. Case studies were conducted on tweet data containing the hashtag "#gejayanmemanggil". The results showed that RyanResttu is the actor who has the highest influence value with the degree of centrality value of 0.108072 and the actor TirtoID is an actor who has high popularity with a follower rank value of 0.999880312. This research ignores the existence of buzzer accounts on Twitter. However, actors who have high influence value are not necessarily those who have high popularity values.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Degree Centrality, Follower Rank, Community Detection, Twitter Text Mining, Social Network Analysis. |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mrs Ni Made Yunia Dwi Savitri |
| Date Deposited: | 17 Nov 2022 01:34 |
| Last Modified: | 17 Nov 2022 01:34 |
| URI: | http://eprints.triatmamulya.ac.id/id/eprint/1769 |
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