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Information tracing model based on PageRank

Information tracing model based on PageRank
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摘要 In social network, original publisher and important nodes in the diffusion process can be traced by analyzing the spreading network of a hot topic. The participated users and spreading network structure of a hot topic build an information tracing model, which mines the source and important diffusion nodes. Firstly, it analyzed the development trend of a hot topic and extracts the users involved. Secondly, it established a user network according to the following relationship of the users involved. Thirdly, the contribution rate of users on the development of the hot topic was initialized, and the Page Rank algorithm was used to construct the information tracing model. Finally, the Top k users were selected as the information publisher and important users of the hot topic according to the contribution rate. Experimental results showed that our model can effectively discover the hot topic of the publisher and important users. In social network, original publisher and important nodes in the diffusion process can be traced by ana- lyzing the spreading network of a hot topic. The participated users and spreading network structure of a hot topic build an information tracing model, which mines the source and important diffusion nodes. Firstly, it analyzed the development trend of a hot topic and extracts the users involved. Secondly, it established a user network according to the following relationship of the users involved. Thirdly, the contribution rate of users on the development of the hot topic was initialized, and the PageRank algorithm was used to construct the information tracing model. Finally, the Top k users were selected as the information publisher and important users of the hot topic according to the contribu- tion rate. Experimental results showed that our model can effectively discover the hot topic of the publisher and im- portant users.
作者 LI Qian LAI Jia-wei XIAO Yun-peng WU Bin LI Qian LAI Jia-wei XIAO Yun-peng WU Bin(Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China Chongqing Engineering Laboratory of Network and Information Security, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)
出处 《网络与信息安全学报》 2017年第8期68-76,共9页 Chinese Journal of Network and Information Security
基金 National Key Basic Research Program(973 program)of China(No.2013CB329606) Chongqing Science and Technology Commission Project(No.cstc2017jcyj AX0099) Science and Technology Research Program of the Chongqing Municipal Education Committee(No.KJ1500425) Ministry of Education of China and China Mobile Research Fund(No.MCM20130351)
关键词 计算机网络 网络管理 应用程序 信息安全 social network, hot topic, information tracing, PageRank
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