文章基本信息

标题：Finding Active Influential User in Multiple Online Social Network
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作者：Praneetha G N ; Bhavatarini N. ; Tejaswini B S 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2018
卷号：7
期号：5
页码：5888-5891
DOI：10.15680/IJIRSET.2018.0705167
出版社：S&S Publications
摘要：People are very much dependant on Online Social Network for various purposes such as movie review, finding experts, finding opinions about any movies,places or products. Influence Maximization is the problem of finding a small set of influential users in the online social network so that their influence in the social network is maximized. Now-a-days, people are found in more than one social network such as Facebook, Twitter, Linkedln etc. So, finding influential user in multiple online social network is very much important. Rather than just finding influential user in multiple online social network, finding active influential user would be much more beneficial. The proposed method outperforms the previous methods of finding influential user.
关键词：Online Social Network; Influence Maximization; Fuzzy K;means algorithm; Active User