Use of FP-Growth Algorithm in Identifying Influential Users on Twitter Hashtags

Due to the spread of technology and World Wide Web, Online Social media invaded every home in the world; hence, the analysis of such networks became an important, yet challenging, case of study for researchers. One of the most interesting fields of study in social network analysis is to identify influential users who are important actors in online social networks. In this paper, identification of influential users on some trendy hashtags has been done. The data of these trendy hashtags has been collected between December 2015 and March 2016. For the identification of influential users from the trendy hashtags collected, Association Rule Learning has been employed. In order to investigate why users were detected as influential, different Influence Measures have been identified. The results of this study indicate the effectiveness of using Association Rule Learning for identifying influential users, moreover, detecting the most effective Influence Measures for these users.