Please wait a minute...
Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (9): 65-73    DOI: 10.11925/infotech.2096-3467.2017.09.07
Orginal Article Current Issue | Archive | Adv Search |
Sentiment Analysis of Weibo Opinion Leaders——Case Study of “Illegal Vaccine” Event
Yue He,Can Zhu()
Business School, Sichuan University, Chengdu 610065, China
Download: PDF(1681 KB)   HTML ( 1
Export: BibTeX | EndNote (RIS)      
Abstract  

[Objective] This paper tries to identify the opinion leaders of Weibo and examines their roles in information dissemination. [Methods] We adopted, a method of two-step clustering to identify opinion leaders of the “illegal vaccine” event. Then, we created a network matrix for these opinion leaders based on their relationship. Finally, we analyzed the sentiments of the Weibo users to evaluate the role of opinion leaders’ network. [Results] The overall users’ sentiments was negative. The opinion leaders’ network posed significant impacts on the sentiments of average users. [Limitations] Only examined our method with one event. [Conclusions] The celebrities and opinion leaders play important role to sway the public opinion online.

Key wordsMicro-blog      Opinion Leaders Network      Sentiment Analysis      Time Difference Correlation Analysis      Two-step Cluster     
Received: 24 April 2017      Published: 18 October 2017

Cite this article:

Yue He,Can Zhu. Sentiment Analysis of Weibo Opinion Leaders——Case Study of “Illegal Vaccine” Event. Data Analysis and Knowledge Discovery, 2017, 1(9): 65-73.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.09.07     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I9/65

[1] Lazarsfield P F, Berelson B, Gauset H.The People’s Choice: How the Votes Makes up His Mind in a Presidential[M]. New York: Columbia University Press, 1948.
[2] 王国华, 张剑, 毕帅辉. 突发事件网络舆情演变中意见领袖研究——以药家鑫事件为例[J]. 情报杂志, 2012, 30(12): 1-5.
[2] (Wang Guohua, Zhang Jian, Bi Shuaihui.Study on Opinion Leaders of Emergencies in Network Opinion Evolution: A Case Study of Yao Jiaxin Event[J]. Journal of Intelligence, 2012, 30(12): 1-5.)
[3] 吴岘辉, 张晖, 赵旭剑, 等. 基于用户行为网络的微博意见领袖挖掘算法[J]. 计算机应用研究, 2015, 32(9): 2679-2683.
[3] (Wu Xianhui, Zhang Hui, Zhao Xujian, et al.Mining Algorithm of Microblogging Opinion Leaders Based on User-behavior Network[J]. Application Research of Computers, 2015, 32(9): 2679-2683.)
[4] 孙乃利, 王玉龙, 沈奇威. 微博客意见领袖识别的研究[J]. 电信技术, 2012(12): 78-80.
[4] (Sun Naili, Wang Yulong, Shen Qiwei.Microblog Opinion Leader Identification[J]. Telecommunications Technology, 2012(12): 78-80.)
[5] 王君泽, 王雅蕾, 禹航, 等. 微博客意见领袖识别模型研究[J]. 新闻与传播研究, 2011(6): 81-88.
[5] (Wang Junze, Wang Yalei, Yu Hang, et al.Study on the Recognition Model for Opinion Leader on Micro-blog[J]. Journalism & Communication, 2011(6): 81-88.)
[6] 刘志明, 刘鲁. 微博网络舆情中的意见领袖识别及分析[J]. 系统工程, 2011, 29(6): 9-15.
[6] (Liu Zhiming, Liu Lu.Recognition and Analysis of Opinion Leaders in Microblog Public Opinions[J]. Systems Engineering, 2011, 29(6): 9-15.)
[7] 蔡淑琴, 马玉涛, 王瑞. 在线口碑传播的意见领袖识别方法研究[J]. 中国管理科学, 2013, 21(2): 185-192.
[7] (Cai Shuqin, Ma Yutao, Wang Rui.Study on the Method of Identifying Opinion Leaders for Online Word-of-Mouth Communication[J]. Chinese Journal of Management Science, 2013, 21(2): 185-192.)
[8] Song X, Chi Y, Hino K, et al.Identifying Opinion Leaders in the Blogosphere[C]// Proceedings of the 16th ACM Conference on Information and Knowledge Management. 2007.
[9] Cha M, Haddadi H, Benevenuto F, et al.Measuring User Influence in Twitter: The Million Follower Fallacy[C]// Proceedings of International Conference on Weblogs and Social Media. 2010.
[10] Kwak H, Lee C, Park H, et al.What is Twitter, a Social Network or a News Media?[C]//Proceedings of the 19th International Conference on World Wide Web. 2010.
[11] Gomez-Rodriguez M, Leskvec J, Krause A.Inferring Networks of Diffusion and Influence[C]//Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2010.
[12] 赵龙文, 公荣涛, 陈明艳, 等. 基于意见领袖参与行为的微博话题热度预测研究[J]. 情报杂志, 2013, 32(12): 43-46.
[12] (Zhao Longwen, Gong Rongtao, Chen Mingyan, et al.Hotness Prediction Research of Microblog Topics Based on the Participation of Opinion Leaders[J]. Journal of Intelligence, 2013, 32(12): 43-46.)
[13] 王平, 谢耘耕. 突发公共事件中微博意见领袖的实证研究——以“温州动车事故”为例[J]. 现代传播: 中国传媒大学学报, 2012, 34(3): 82-88.
[13] (Wang Ping, Xie Yungeng.An Empirical Study of Micro-blog Opinion Leaders in Public Emergencies——A Case Study of Wenzhou Motor Train Crash[J]. Modern Communication: Journal of Communication University of China, 2012, 34(3): 82-88.)
[14] 李玉贞, 胡勇, 熊熙, 等. 微博意见领袖的评估模型[J]. 信息安全与通信保密, 2013(2): 79-81.
[14] (Li Yuzhen, Hu Yong, Xiong Xi, et al.Evaluation Model of Micro-blog Opinion Leader[J]. Information Security and Communications Privacy, 2013(2): 79-81.)
[15] 张仰森, 蒋玉茹, 陈若愚, 等. 微博用户关系网络中意见领袖的分析与挖掘[J]. 北京信息科技大学学报: 自然科学版, 2015(4): 8-14.
[15] (Zhang Yangsen, Jiang Yuru, Chen Ruoyu, et al.Analysis and Mining of Opinion Leaders in Microblog User Relationship Network[J]. Journal of Beijing Information Science & Technology University, 2015(4): 8-14.)
[16] 禹建强, 李艳芳. 对微博信息流中意见领袖的实证分析: 以“厦门BRT公交爆炸案”为个案[J]. 国际新闻界, 2014, 36(3): 23-36.
[16] (Yu Jianqiang, Li Yanfang.An Empirical Research on Opinion Leaders in the Information Flow at Micro-Blog: Case Study on BRT Bus Bombings in Xiamen[J]. Chinese Journal of Journalism & Communication, 2014, 36(3): 23-36.)
[17] 贾红雨, 郝建维, 邱晨子. 基于SNA的微博社区信息传播能力分析与评估[J]. 情报科学, 2015, 33(11): 135-139.
[17] (Jia Hongyu, Hao Jianwei, Qiu Chenzi.SNA-based Analysis and Evaluation for Microblog Community Information Dissemination Capabilities[J]. Information Science, 2015, 33(11): 135-139.)
[18] 杜海燕, 叶光辉. 社交博客用户分层与话题演化研究——以MetaFilter Music版块为例[J]. 信息资源管理学报, 2015, 5(4): 39-46.
[18] (Du Haiyan, Ye Guanghui.Research on User Classification and Top Evolution in Social Blog: Empirical Analysis Based on Music Section in Meta Filter Dataset[J]. Journal of Information Resources Management, 2015, 5(4): 39-46.)
[19] 王迪, 何跃. 基于社会网络分析的意见领袖网结构[J]. 统计与信息论坛, 2013, 28(10): 84-89.
[19] (Wang Di, He Yue.The Network Structure of Opinion Leaders Based on Social Network Analysis[J]. Statistics & Information Forum, 2013, 28(10): 84-89.)
[20] 生奇志, 高森宇. 中国微博意见领袖: 特征、类型与发展趋势[J]. 东北大学学报: 社会科学版, 2013, 15(4) : 381-385.
[20] (Sheng Qizhi, Gao Senyu.Opinion Leaders of Chinese Microblogs: Features, Types and Development Trends[J]. Journal of Northeastern University: Social Science, 2013, 15(4): 381-385.)
[21] Chiu T, Fang D, Chen J, et al.A Robust and Scalable Clustering Algorithm for Mixed Type Attributes in Large Database Environment[C]//Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2001.
[1] Ying Tan,Jin Zhang,Lixin Xia. A Survey of Sentiment Analysis on Social Media[J]. 数据分析与知识发现, 2020, 4(1): 1-11.
[2] Hui Nie,Huan He. Identifying Implicit Features with Word Embedding[J]. 数据分析与知识发现, 2020, 4(1): 99-110.
[3] Yonghua Cen,Zhihao Tan,Chengyao Wu. Impacts of Financial Media Information on Stock Market: An Empirical Study of Sentiment Analysis[J]. 数据分析与知识发现, 2019, 3(9): 98-114.
[4] Weicong Lu,Jian Xu. Sentiment Analysis for Online User Reviews Based on Tripartite Network[J]. 数据分析与知识发现, 2019, 3(8): 10-20.
[5] Zhongxi You,Weina Hua,Xuelian Pan. Matching Book Reviews and Essential Sentiment Lexicons with Chinese Word Segmenters[J]. 数据分析与知识发现, 2019, 3(7): 23-33.
[6] Jiang Wu,Yinghui Zhao,Jiahui Gao. Research on Weibo Opinion Leaders Identification and Analysis in Medical Public Opinion Incidents[J]. 数据分析与知识发现, 2019, 3(4): 53-62.
[7] Mingqing Zhao,Shengqiang Wu. Research on Stock Market Weighted Prediction Method Based on Micro-blog Sentiment Analysis[J]. 数据分析与知识发现, 2019, 3(2): 43-51.
[8] Cuiqing Jiang,Yibo Guo,Yao Liu. Constructing a Domain Sentiment Lexicon Based on Chinese Social Media Text[J]. 数据分析与知识发现, 2019, 3(2): 98-107.
[9] Fen Chen,Xiaohuan Gao,Yue Peng,Yuan He,Chunxiang Xue. Identifying Weibo Opinion Leaders with Text Sentiment Analysis[J]. 数据分析与知识发现, 2019, 3(11): 120-128.
[10] Bengong Yu,Peihang Zhang,Qingtang Xu. Selecting Products Based on F-BiGRU Sentiment Analysis[J]. 数据分析与知识发现, 2018, 2(9): 22-30.
[11] Ziming Zeng,Qianwen Yang. Sentiment Analysis for Micro-blogs with LDA and AdaBoost[J]. 数据分析与知识发现, 2018, 2(8): 51-59.
[12] Xiufang Wang,Shu Sheng,Yan Lu. Analyzing Public Opinion from Microblog with Topic Clustering and Sentiment Intensity[J]. 数据分析与知识发现, 2018, 2(6): 37-47.
[13] Sinan Yang,Jian Xu,Pingping Ye. Review of Online Sentiment Visualization Techniques[J]. 数据分析与知识发现, 2018, 2(5): 77-87.
[14] Tingting Wang,Kaiping Wang,Guijie Qi. Analyzing Implemented Ideas from Open Innovation Platform with Sentiment Analysis: Case Study of Salesforce[J]. 数据分析与知识发现, 2018, 2(4): 38-47.
[15] Yang Zhao,Qiqi Li,Yuhan Chen,Wenhang Cao. Examining Consumer Reviews of Overseas Shopping APP with Sentiment Analysis[J]. 数据分析与知识发现, 2018, 2(11): 19-27.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn