Discrimination of zombie fans on weibo based on features extraction and business-driven analysis
文献类型：会议
作者：Jiang, Hongxun[1]
机构：[1]School of Information, Renmin University of China, NO59. Zhongguancun Street, Haidian District, Beijing, China
[2]School of Information, Renmin University of China, NO59. Zhongguancun Street, Haidian District, Beijing, China
[3]School of Information, Renmin University of China, NO59. Zhongguancun Street, Haidian District, Beijing, China
年：2015
会议名称：17th Annual International Conference on Electronic Commerce, ICEC 2015
会议地点：Seoul, Korea, Republic of
会议开始日期：2015-08-03
会议结束日期：2015-08-05
收录情况：EI(20160701931709)
所属部门：信息学院
人气指数：1
浏览次数：1
语言：外文
摘要：Weibo has attracted, due to its popularity and openness, massive zombie fans to achieve their some certain purpose, to follow somebody or repost with spam content. Zombie fans are generally produced and maintained by automated programs. They seriously interfere in normal social environment and make human users experience deteriorates. We propose a new approach that is able to deal with evolutions and variations of zombie fans. Compared with the traditional detecting methods, the new approach is ...More
Weibo has attracted, due to its popularity and openness, massive zombie fans to achieve their some certain purpose, to follow somebody or repost with spam content. Zombie fans are generally produced and maintained by automated programs. They seriously interfere in normal social environment and make human users experience deteriorates. We propose a new approach that is able to deal with evolutions and variations of zombie fans. Compared with the traditional detecting methods, the new approach is innovative in two respects: (a) we observe the difference and extract the features between human and zombies in terms of their behavior, message content, and profile properties; (b) we introduce a new concept of business-driven analysis why somebody tend to purchase zombie fans, based on which a new discrimination way is delivered. We conduct large-scale measurements with a collection of over 50,000 user accounts from Weibo. The experimental evaluation demonstrates the efficacy and stability of the proposed classification system. ? 2015 Copyright held by the owner/author(s). Publication rights licensed to ACM. ...Hide
作者其他论文
Integrated Change and Release Management towards Autonomic Computing.Chen, Shanshan;Jiang, Hongxun.5th International Conference on Service Systems and Service Management.2008,327-331.
Performance analysis and evaluation of complex EIS based on structure graph.Jiang, Hongxun;Yang, Yongyan;Su, Jun.2nd IEEE/IFIP International Workshop on Business-Driven IT Management.2007,102-103.
Research on theoretical framework of public IT systems management in China.Jiang, Hongxun;Du, Honglu;Dong, Ming.6th Wuhan International Conference on E-Business.2007,353-360.
A neural network approach to support B2B negotiations.Sun, Caihong;Wu, Ning;Jiang, Hongxun.5th Wuhan International Conference on E-Business.2006,805-810.
Study on loan auditing decision model based on plural entropy.Jiang, Hongxun;Ye, Xiang.6th World Congress on Intelligent Control and Automation.2006,6925-6928.
