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《Journal of Data Acquisition and Processing》 2015-01
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Spammer Detection Based on Duplicate Microblog Post

Wu Bin;Li Guanchen;Liu Yu;Zhang Lei;Wang Bai;School of Computer Science,Beijing University of Posts and Telecommunications;  
As the social networks(such as Sina Weibo)become more and more popular and significant,spammer′s behavior severely affects the credibility and readability on social network platforms.A spammer detection model along with the algorithm is proposed based on duplicate detection of microblog posts to detect spammers on Weibo platform.Based on analyses of real-world data,the model is built by considering user behavior information,user social network information and content information.Experiments on a collection of real Weibo data shows the effectiveness of the proposed model.Parameters′impaction to the model is also studied.The improvement of incorporating behavior information,content information and network information has been analyzed,hence the model is promising.
【Fund】: 国家自然科学基金重点(71231002)资助项目;; 北京市教育委员会共建项目专项基金资助项目
【CateGory Index】: TP393.092;TP391.1
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