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基于用户情感倾向的意见领袖发现算法研究 被引量:3

Study of Opinion Leaders Discovering Algorithm Based on the Emotional Tendency of Users
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摘要 随着互联网的普及和网络信息传播速度的加快,意见领袖在网络信息传播控制中起到至关重要的引导作用。针对当前有关意见领袖的研究方法忽略了网络用户行为与情感倾向之间的关联性,或者只是将回复次数当作用户节点权重而进行简单累加的缺陷,提出一种基于用户情感倾向的意见领袖发现算法以提高意见领袖识别的精准度。不仅综合考虑了回复者对发帖者情感倾向,还将回复文本中大量存在的匿名回帖纳入计算,得到实名、匿名相融合的用户领袖值。以某论坛数据设计实验,结果表明,该算法具有更高的识别准确度。 With the popularity of the Internet and the acceleration of network information dissemination,opinion leaders play a crucial guiding role in dissemination and control of network information.In view of the current research methods about the opinion leader,which ignore the correlation between the behavior and the emotional tendency of network users,and bears the defects of only regarding the reply frequencies as the node weight of users to carry on simple accumulation,a detection algorithm based on the emotional tendency of users is proposed in order to improve the accuracy of recognizing the opinion leaders.The emotional tendency of the respondents to the post is taken into comprehensive consideration and a large number of anonymous replies existed in the response text are included to obtain the value of opinion leaders,which combines the real names and anonyms of users.The result of the experiment based on the data of a forum shows that the proposed algorithm in this paper has higher recognition accuracy.
作者 汪洋 李英娜 李川 WANG Yang;LI Ying-na;LI Chuan(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China)
出处 《软件导刊》 2018年第9期95-100,共6页 Software Guide
关键词 意见领袖 情感倾向 PAGERANK算法 匿名回帖 opinion leaders emotional tendency PageRank algorithm anonymous replies
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  • 1吴刚,辛毅,赵煦.BBS数据挖掘研究[J].中国教育网络,2007(5):69-70. 被引量:4
  • 2Matsumura N, Ohsawa Y, Ishizuka M. Influence Diffusion Model in Text-based Communication[C]//Proc. of the llth International World Wide Web Conference. Hawaii, USA: ACM Press, 2002. 被引量:1
  • 3Demrster A P, Larid N M, Rubin D B, et al. Maximum Likelihood from Incomplete Data via the EM Algorithm[J]. Journal of Royal Statistical Society, 1977, 39(11): 1-17. 被引量:1
  • 4Zeng Jianping, Zhang Shiyong, Wu Chengrong. A Framework for WWW User Activity Analysis Based on User Interest[J]. Knowledge-based Systems, 2008, 21(8): 905-910. 被引量:1
  • 5OECD. Participative Web and User- Created Content : Web2.0,Wikis and Social Networking Edition Complete. OCDE Informa- tion Sciences and Technologies (,October 2007 ) [OL]. [ 2008 - 11-10 ]. http://www, oecd. org/document//40/0,3343, en_ 2649_34223_39428648_1_1_1_1,00. html. 被引量:1
  • 6Hengmin Zhou, Daniel Zeng, Changli Zhang. Finding Leaders from Opinion Networks [ C ]. 2009 IEEE International Confer- ence on Intelligence and security Informatics,2009:266-268. 被引量:1
  • 7M Hu, B Liu. Mining and Summarizing Customer Reviews[ C ]. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining ( KDD- 2004, full pa- per ), Seattle, Washington, USA, 2004 : 22 -25. 被引量:1
  • 8Bin Shi, Kuiyu Chang. Mining Chinese Reviews E C ]. Sixth IEEE International Conference on Data Mining-Workshops (IC- DMW06) ,2006. 被引量:1
  • 9Zhongwu Zhai, Hua Xu, Peifa Jia. Identifying Opinion Leaders in BBS [ C ]. 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology,2008:398 -401. 被引量:1
  • 10Freimut Bodendorf, Carolin Kaiser. Detecting Opinion Leaders and Trends in Online Communities [ C].. 2010 Fourth Interna- tional Conference on Digital Society ,2010 : 124-129. 被引量:1

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