Title
Technical Papers Parallel Session-I: Identification of opinion leaders in social network
Abstract/Description
Identification of the opinion leaders in the world's largest microblogging site, Twitter, is crucial problem of social network analysis. Twitter has quick information flow and has high impact on forming opinion on mass public. This paper presents the study based on various centrality mesaure approaches for finding key players for a specific political trend on Twitter. A novel weighted approach has been proposed for finding opinion leaders based on the centrality measures. Experiment has been conducted on the Twitter's data for the sit in procession of Pakistani politician Imran Khan in 2014. It has been found that Twitter opinion leadership makes a significant contribution to individuals' involvement in political reforms.
Keywords
Location
C-9, AMAN CED
Session Theme
Technical Papers Parallel Session-I (Artificial Intelligence)
Session Type
Parallel Technical Session
Session Chair
Dr. Jawwad Shamsi
Start Date
12-12-2015 4:10 PM
End Date
12-12-2015 4:30 PM
Recommended Citation
Khan, N. S., Ata, M., & Rajput, Q. (2015). Technical Papers Parallel Session-I: Identification of opinion leaders in social network. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2015/2015/7
COinS
Technical Papers Parallel Session-I: Identification of opinion leaders in social network
C-9, AMAN CED
Identification of the opinion leaders in the world's largest microblogging site, Twitter, is crucial problem of social network analysis. Twitter has quick information flow and has high impact on forming opinion on mass public. This paper presents the study based on various centrality mesaure approaches for finding key players for a specific political trend on Twitter. A novel weighted approach has been proposed for finding opinion leaders based on the centrality measures. Experiment has been conducted on the Twitter's data for the sit in procession of Pakistani politician Imran Khan in 2014. It has been found that Twitter opinion leadership makes a significant contribution to individuals' involvement in political reforms.
