Please wait a minute...
Advanced Search
现代图书情报技术  2013, Vol. Issue (6): 55-62    DOI: 10.11925/infotech.1003-3513.2013.06.09
  情报分析与研究 本期目录 | 过刊浏览 | 高级检索 |
微博转发网络中意见领袖的识别与分析
熊涛, 何跃
四川大学商学院 成都 610064
The Identification and Analysis of Micro-blogging Opinion Leaders in the Network of Retweet Relationship
Xiong Tao, He Yue
Business School, Sichuan University, Chengdu 610064, China
全文: PDF(836 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 以微博中的转发关系构建邻接矩阵,通过改进后的HITS算法识别微博意见领袖,并构建基于转发关系的意见领袖网,验证算法有效性并分析意见领袖在网络中的作用。研究表明:改进后的HITS算法能够有效地识别意见领袖;意见领袖的中心值与其粉丝数高度正相关。通过对意见领袖网的分析发现:意见领袖在网络的关键节点中占有重要地位,意见领袖的作用并没有因为微博中信息源的增多而削弱。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
何跃
熊涛
关键词 微博意见领袖转发关系HITS算法    
Abstract:This paper builds the adjacent matrix based on the retweet relationship in micro-blogging to find the opinion leaders through improved HITS algorithm. Then a net of opinion leaders is built based on the relationship of retweet to prove the efficiency of the improved algorithm and to analyze the function of opinion leaders. The research shows that the improved HITS algorithm can find the opinion leaders effectively. The hub of an opinion leader is highly positive correlated with the amount of his fans. According to the analysis of the net of opinion leader, the authors find that the opinion leaders play important roles in the key nodes,and their function is not weakened by the increasing of information sources in the micro-blogging.
Key wordsMicro-blogging    Opinion leader    Retweet relationship    HITS algorithm
收稿日期: 2013-04-22     
:  G202  
通讯作者: 熊涛     E-mail: xtxycc@126.com
引用本文:   
熊涛, 何跃. 微博转发网络中意见领袖的识别与分析[J]. 现代图书情报技术, 2013, (6): 55-62.
Xiong Tao, He Yue. The Identification and Analysis of Micro-blogging Opinion Leaders in the Network of Retweet Relationship. New Technology of Library and Information Service, DOI:10.11925/infotech.1003-3513.2013.06.09.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2013.06.09
[1] Lazarsfeld P F, Berelson B, Gaudet H. The People’s Choice[M]. New York: Columbia University Press, 1948.
[2] Rogers E M, Shoemaker F F. Communication of Innovations: A Cross-cultural Approach[M]. New York: Free Press, 1971.
[3] Vergani M. Are Party Activists Potential Opinion Leaders?[J].Javnost-The Public,2011, 18(3):71-82.
[4] 姜珊珊, 李欲晓, 徐敬宏. 非常规突发事件网络舆情中的意见领袖分析[J]. 情报理论与实践, 2010, 33(12):101-104.(Jiang Shanshan, Li Yuxiao, Xu Jinghong. Analysis of Internet Public Opinion Leaders in Unconventional Emergencies[J].Information Studies: Theory & Application, 2010, 33(12):101-104.)
[5] 元志润. 在网络口碑沟通中的意见领袖(Opinion Leader)研究——以韩国超级博客(Power Blog)为例[D].上海:复旦大学, 2011.(Yuan Zhirun. Opinion Leaders in Online World-of-Mouth——Power Bloggers in Korea[D]. Shanghai: Fudan University, 2011.)
[6] Borondo J, Morales A J, Losada J C, et al. Characterizing and Modeling an Electoral Campaign in the Context of Twitter: 2011 Spanish Presidential Election as a Case Study[J].Chaos, 2012,22(2):023138.doi:10.1063/1.4729139.
[7] Rui H X, Liu Y Z, Whinston A. Whose and What Chatter Matters? The Effect of Tweets on Movie Sales[J]. Decision Support Systems, 2013. In Press.
[8] 丁汉青, 王亚萍. SNS网络空间中“意见领袖”特征之分析——以豆瓣网为例[J]. 新闻与传播研究, 2010(3):82-91.(Ding Hanqing, Wang Yaping. Analyzing “Opinion Leader” Attributes in SNS Cyberspace: An Investigation of Douban.com [J]. Journalism & Communication, 2010(3):82-91.)
[9] 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):8-16.(Liu Zhiming, Liu Lu. Recognition and Analysis of Opinion Leaders in Microblog Public Opinions[J]. Systems Engineering,2011,29(6):8-16.)
[10] 丁雪峰, 胡勇, 赵文,等. 网络舆论意见领袖特征研究[J]. 四川大学学报:工程科学版, 2010,42(2): 145-149.(Ding Xuefeng, Hu Yong, Zhao Wen, et al. A Study on the Characters of the Public Opinion Leader in Web BBS[J].Journal of Sichuan University: Engineering Science Edition,2010, 42(2):145-149.)
[11] 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.(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.)
[12] Weng J S, Lim E P, Jing J, et al. TwitterRank: Finding Topic-sensitive Influential Twitterers[C]. In: Proceedings of the 3rd ACM International Conference on Web Search and Data Mining. New York: ACM, 2010:261-270.
[13] 肖宇, 许炜, 夏霖. 一种基于情感倾向分析的网络团体意见领袖识别算法[J]. 计算机科学, 2012, 39(2): 34-37.(Xiao Yu, Xu Wei, Xia Lin. Networking Groups Opinion Leader Identification Algorithms Based on Sentiment Analysis[J]. Computer Science, 2012, 39(2): 34-37.)
[14] Zhang J, Ackerman M S, Adamic L. Expertise Networks in Online Communities: Structure and Algorithms[C]. In: Proceedings of the 16th International Conference on World Wide Web. New York: ACM,2007:221-230.
[15] Yoganarasimhan H. Impact of Social Network Structure on Content Propagation: A Study Using YouTube Data[J].Quantitative Marketing & Economics, 2012,10(1):111-150.
[16] 张伟哲,王佰玲,何慧,等.基于异质网络的意见领袖社区发现[J]. 电子学报,2012, 40(10):1927-1932.(Zhang Weizhe,Wang Bailing,He Hui, et al. Public Opinion Leader Community Mining Based on the Heterogeneous Network[J]. Acta Electronica Sinica, 2012, 40(10):1927-1932.)
[17] Kwak H, Lee C, Park H, et al. What is Twitter, A Social Network or a News Media?[C].In: Proceedings of the 19th International Conference on World Wide Web. New York, NY, USA: ACM, 2010: 591-600.
[18] Kleinberg J M. Authoritative Sources in a Hyperlinked Environment[C].In: Proceedings of the 9th Annual ACM-SIAM Symposium on Discrete Algorithms.1998: 668-677.
[19] 苏成,潘云涛,袁军鹏,等.基于HITS算法的期刊评价研究[J]. 编辑学报, 2009,21(4):366-369.(Su Cheng, Pan Yuntao, Yuan Junpeng, et al. HITS for Journal Ranking[J]. Acta Editologica, 2009, 21(4):366-369.)
[20] 朱恒民,李青.面向话题衍生性的微博网络舆情传播模型研究[J]. 现代图书情报技术, 2012(5):60-64.(Zhu Hengmin, Li Qing. Public Opinion Propagation Model with Topic Derivatives in the Micro-blog Network[J].New Technology of Library and Information Service, 2012(5):60-64.)
[21] Java A, Song X, Finin T, et al. Why We Twitter: Understanding Microblogging Usage and Communities[C]. In: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis. New York, NY, USA: ACM, 2007:56-65.
[22] Cha M, Benevenuto F, Haddadi H, et al. The World of Connections and Information Flow in Twitter[J]. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 2012, 42(4):991-998.
[23] Valente T W, Fujimoto K. Bridging: Locating Critical Connectors in a Network[J]. Social Networks, 2010, 32(3): 212-220.
[1] 安璐,梁艳平. 突发公共卫生事件微博话题与用户行为选择研究*[J]. 数据分析与知识发现, 2019, 3(4): 33-41.
[2] 吴江,赵颖慧,高嘉慧. 医疗舆情事件的微博意见领袖识别与分析研究*[J]. 数据分析与知识发现, 2019, 3(4): 53-62.
[3] 赵明清,武圣强. 基于微博情感分析的股市加权预测方法研究*[J]. 数据分析与知识发现, 2019, 3(2): 43-51.
[4] 曾子明,杨倩雯. 基于LDA和AdaBoost多特征组合的微博情感分析*[J]. 数据分析与知识发现, 2018, 2(8): 51-59.
[5] 陈芬,付希,何源,薛春香. 融合社会网络分析与影响力扩散模型的微博意见领袖发现研究*[J]. 数据分析与知识发现, 2018, 2(12): 60-67.
[6] 高永兵,杨贵朋,张娣,马占飞. 基于突显词博文聚类的官微事件检测方法*[J]. 数据分析与知识发现, 2017, 1(9): 57-64.
[7] 何跃,朱灿. 基于微博的意见领袖网情感特征分析*——以“非法疫苗”事件为例[J]. 数据分析与知识发现, 2017, 1(9): 65-73.
[8] 敦欣卉,张云秋,杨铠西. 基于微博的细粒度情感分析[J]. 数据分析与知识发现, 2017, 1(7): 61-72.
[9] 祁瑞华. 基于依存关系的中文微博作者性别识别*[J]. 数据分析与知识发现, 2017, 1(2): 58-63.
[10] 杨爽,陈芬. 基于SVM多特征融合的微博情感多级分类研究*[J]. 数据分析与知识发现, 2017, 1(2): 73-79.
[11] 丁晟春,龚思兰,李红梅. 基于突发主题词和凝聚式层次聚类的微博突发事件检测研究*[J]. 现代图书情报技术, 2016, 32(7-8): 12-20.
[12] 姚兆旭,马静. 面向微博话题的“主题+观点”词条抽取算法研究*[J]. 现代图书情报技术, 2016, 32(7-8): 78-86.
[13] 杨爱东,刘东苏. 基于Hadoop的微博舆情监控系统模型研究[J]. 现代图书情报技术, 2016, 32(5): 56-63.
[14] 朱玲,薛春香,章成志,傅柱. 微博用户标签与博文内容相关度研究*[J]. 现代图书情报技术, 2016, 32(3): 18-24.
[15] 孙赫,李淑琴,吕学强,刘克会. 微博城市投诉文本中地理位置实体的完整性研究*[J]. 现代图书情报技术, 2016, 32(3): 58-66.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 2015 《数据分析与知识发现》编辑部
地址:北京市海淀区中关村北四环西路33号 邮编:100190
电话/传真:(010)82626611-6626,82624938
E-mail:jishu@mail.las.ac.cn