Opinion Leader Mining Algorithms on Sina Weibo

doi:10.3969/j.issn.1006-2475.2018.09.016

Abstract

Abstract: The current influence analysis algorithms are mostly based on network topology structure or user interaction information. However, a single method will lead to a large deviation in mining results. At present, there is no comprehensive and accurate influence mining method. Therefore, by extending the traditional PageRank algorithm, a new TCRank algorithm based on user interaction connection attribute is proposed for Sina Weibo. Secondly, three kinds of micro-blog opinion leader characteristics are designed, and their weighted summation is used to refine the candidate set of opinion leaders. At the same time, an opinion leader extraction algorithm based on emotional support of convolution neural network model is proposed to rank the candidate set of opinion leaders. Finally, the effectiveness of the proposed algorithm is verified by experiments.

Key words: Sina Weibo, opinion leader, PageRank, characteristic indexes, convolution neural network

CLC Number:

TP391

LIU Jun-jie1, MA Chang2, SHAO Wei-long2, HAN Dong-hong2, XIA Li2 . Opinion Leader Mining Algorithms on Sina Weibo[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2018.09.016.

References

［1］ Kwahk K Y, Ge Xi, Lee J M. The effects of use of instant messenger on purchase intention: The context of Chinese C2C E-commerce［J］. Asia Pacific Journal of Information Systems, 2012,22(2):1-20.
［2］吴信东,李毅,李磊. 在线社交网络影响力分析［J］. 计算机学报, 2014,37(4):735-752.
［3］ Agarwal N, Liu Huan, Tang Lei, et al. Identifying the influential bloggers in a community［C］// Proceedings of the 2008 International Conference on Web Search and Data Mining. 2008:207-217.
［4］ Chen Wenlong, Cheng Shaoyin, He Xing, et al. InfluenceRank: An efficient social influence measurement for millions of users in microblog［C］// Proceedings of the 2nd International Conference on Cloud and Green Computing. 2012:563-570.
［5］钮亮,高旭,雷园园. 基于粗糙集-AHM的新浪微博意见领袖挖掘［J］. 电子科技大学学报(社会科学版), 2016,18(1):67-71.
［6］ Andersen R, Chung F, Lang K. Local graph partitioning using PageRank vectors［C］// Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science. 2006:475-486.
［7］ Sun Jimeng, Tang Jie. A survey of models and algorithms for social influence analysis［M］// Social Network Data Analytics. Springer US, 2011:177-214.
［8］樊兴华,赵静,方滨兴,等. 影响力扩散概率模型及其用于意见领袖发现研究［J］. 计算机学报, 2013,36(2):360-367.
［9］ Saito K, Kimura M, Ohara K, et al. Selecting information diffusion models over social networks for behavioral analysis［C］// Proceedings of the 2010 European Conference on Machine Learning and Knowledge Discovery in Databases: Part Ⅲ. 2010:180-195.
［10］徐郡明,朱福喜,刘世超,等. 改进LeaderRank算法的意见领袖挖掘［J］. 计算机工程与应用, 2015,51(1):110-114.
［11］Li Jingxuan, Peng Wei, Li Tao, et al. Social network user influence sense-making and dynamics prediction［J］. Expert Systems with Applications, 2014,41(11):5115-5124.
［12］Duan Jiangjiao, Zeng Jianping, Luo Banghui. Identification of opinion leaders based on user clustering and sentiment analysis［C］// Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies. 2014,1:377-383.

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