Abstract: Identification of the influential users is one of the most practical analyses in social networks. The importance of this analysis stems from the fact that such users can affect their followers “/friends” viewpoints. This study aims at introducing two new indices to identify the most influential users in the Twitter social network. Four sets of features extracted from user activities, user profile, tweets, and actions performed on tweets are deployed to create the proposed indices. The available methods of detecting the most influential Twit...
(read more)
Topics: 
Information retrieval
Data mining