1 research outputs found
TTRank: A Temporal Model to Rank Online Twitter Users
Twitter is an online social network or a news media where users can post their desirable topical interests in the form tweets. This is a networking model where each user can choose who can follow her and whom she wants to follow. We can find the users who are very active in the social networks and consider them as influential users. This research addresses on Temporal Twitter Ranking (TTRank) to rank the influential users in Twitter. We apply Twitter-LDA topic modeling method to find the usersâ topical interests. The time interval is an important factor as usersâ topical interest can change over time i.e. usersâ have different degree of topical interests at different timeinterval. So we give more emphasize on usersâ most recent tweets. Our proposed approach also considers the impact of âFollower Influenceâ and âRetweet Influenceâ. The top influential users have been detected across different time intervals based on all the above mentioned factors and classified as âHighly Influentialâ and âPotentialâ users. Experiment results on a real Twitter dataset demonstrate the efficacy of the proposed system