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Twitter User Rank Using Keyword Search
Tomoya Noro, Fei Ru, Feng Xiao, Takehiro Tokuda
31 - 48
10.3233/978-1-61499-177-9-31
Frontiers in Artificial Intelligence and Applications
Volume 251: Information Modelling and Knowledge Bases XXIV
Abstract

Twitter has attracted attention recently as a new way of collecting, providing and sharing information on the Internet. However, it is difficult for us to find Twitter users to follow for getting valuable information related to a topic of interest. In this paper, we propose a method for ranking Twitter users using the Twitter keyword search. This method utilizes tweet relation among Twitter users and tweets (retweet and reply) as well as tweet count of each Twitter user. Experimental results show our method outperforms methods using only tweet count, tweet relation, or follow relation.

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