Predicting Politician’s Supporters’ Network on Twitter Using Social Network Analysis and Semantic Analysis
Joint Authors
Dai, Lin
Ahmad, Arshad
Boudjellal, Nada
Zhang, Huaping
Khan, Asif
Shang, Jianyun
Ali, Asmat
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-01
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Politics is one of the hottest and most commonly mentioned and viewed topics on social media networks nowadays.
Microblogging platforms like Twitter and Weibo are widely used by many politicians who have a huge number of followers and supporters on those platforms.
It is essential to study the supporters’ network of political leaders because it can help in decision making when predicting their political futures.
This study focuses on the supporters’ network of three famous political leaders of Pakistan, namely, Imran Khan (IK), Maryam Nawaz Sharif (MNS), and Bilawal Bhutto Zardari (BBZ).
This is done using social network analysis and semantic analysis.
The proposed method (1) detects and removes fake supporter(s), (2) mines communities in the politicians’ social network(s), (3) investigates the supporters’ reply network for conversations between supporters about each leader, and, finally, (4) analyses the retweet network for information diffusion of each political leader.
Furthermore, sentiment analysis of the supporters of politicians is done using machine learning techniques, which ultimately predicted and revealed the strongest supporter network(s) among the three political leaders.
Analysis of this data reveals that as of October 2017 (1) IK was the most renowned of the three politicians and had the strongest supporter’s community while using Twitter in a very controlled manner, (2) BBZ had the weakest supporters’ network on Twitter, and (3) the supporters of the political leaders in Pakistan are flexible on Twitter, communicating with each other, and that any group of supporters has a low level of isolation.
American Psychological Association (APA)
Khan, Asif& Zhang, Huaping& Shang, Jianyun& Boudjellal, Nada& Ahmad, Arshad& Ali, Asmat…[et al.]. 2020. Predicting Politician’s Supporters’ Network on Twitter Using Social Network Analysis and Semantic Analysis. Scientific Programming،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1209343
Modern Language Association (MLA)
Khan, Asif…[et al.]. Predicting Politician’s Supporters’ Network on Twitter Using Social Network Analysis and Semantic Analysis. Scientific Programming No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1209343
American Medical Association (AMA)
Khan, Asif& Zhang, Huaping& Shang, Jianyun& Boudjellal, Nada& Ahmad, Arshad& Ali, Asmat…[et al.]. Predicting Politician’s Supporters’ Network on Twitter Using Social Network Analysis and Semantic Analysis. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1209343
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209343