Please wait a minute...
New Technology of Library and Information Service  2012, Vol. 28 Issue (2): 68-75    DOI: 10.11925/infotech.1003-3513.2012.02.11
Current Issue | Archive | Adv Search |
Research on Attention Behavior of Microblog Users Based on Social Network Analysis
Yuan Yuan1, Sun Xiaoling2, Zhu Qinghua1
1. School of Information Management, Nanjing University, Nanjing 210093, China;
2. School of Management and Engineering, Nanjing University, Nanjing 210093, China
Export: BibTeX | EndNote (RIS)      
Abstract  Taking the Sina microblog as the object of research, this paper establishes the microblog social network structure through co-link relationship,and then tries to use the social network analysis method and Hierarchical cluster analysis method to carry out centrality analysis, subgroup analysis and the role analysis, in order to find out the relationship between the focus of attention, and give some advice to the present attention recommend system.
Key wordsSocial network analysis      Microblog      User behavior      Attention recommend     
Received: 12 December 2011      Published: 23 March 2012



Cite this article:

Yuan Yuan, Sun Xiaoling, Zhu Qinghua. Research on Attention Behavior of Microblog Users Based on Social Network Analysis. New Technology of Library and Information Service, 2012, 28(2): 68-75.

URL:     OR

[1] 微博-百度百科[EB/OL].(2011-12-21).[2012-01-20]. Baidu Encyclopedia[EB/OL].(2011-12-21).[2012-01-20].

[2] 中国网络媒体论坛[EB/OL].(2011-11-22).[2011-12-22].'s Internet Media Forum[EB/OL]. (2011-11-22).[2011-12-22].

[3] Adomavicius G,Tuzhilin A.Toward the Next Generation of Recommender Systems: A Survey of the State of the Art and Possible Extensions[J].IEEE Transaction on Knowledge and Data Engineering,2005,17(6):734-749.

[4] Java A, Song X D,Finin T, et al. Why We Twitter: Understanding Microbolgging 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:ACM Press,2007:56-65.

[5] 赵文兵,朱庆华,吴克文,等.微博客用户特性及动机分析——以和讯财经微博为例[J]. 现代图书情报技术 ,2011(2):69-75.(Zhao Wenbing,Zhu Qinghua, Wu Kewen, et al.Analysis of Micro-blogging User Character and Motivation——Take Micro-blogging of as an Example[J].New Technology of Library and Information Service,2011(2):69-75.)

[6] 刘军.社会网络分析导论[M].北京:社会科学文献出版社,2004:9-14.(Liu Jun.Introduction to Social Network Analysis[M].Beijing:Social Sciences Academic Press,2004:9-14.)

[7] Adar E,Zhang L,Adamic L, et al. Implicit Structure and the Dynamics of Blogspace[C]. In: Proceedings of the 13th International World Wide Web Conference: Workshop on the Weblogging Ecosystem. New York: ACM Press,2004:751-758.

[8] Delwiche A.Agenda-setting,Opinion Leadership,and the World of Web Logs[C]. In: Proceedings of the International Communication Association Conference,New Orleans,LA.2005.

[9] Fu F,Chen X,Liu L, et al.Social Dilemmas in an Online Social Network:The Structure and Evolution of Cooperation[J].Physics Letters A,2007,371(1-2):58-64.

[10] Teutle A R M.Twitter:Network Properties Analysis[C]. In: Proceedings of the 20th International Conference on Electronics,Communications and Computer,Cholula, Mexico.New York:IEEE,2010:180-186.

[11] Fischer E, Rebecca R A.Social Interaction via New Social Media: How can Interactions on Twitter Affect Effectual Thinking and Behavior[J].Journal of Business Venturing,2011,26(1):1-18.

[12] 王晓光,滕思琦.微博社区中非正式交流的实证研究——以“Myspace9911微博”为例[J]. 图书情报工作 ,2011,55(4):39-43.(Wang Xiaoguang,Teng Siqi.Empirical Analysis on Informal Communication in Micro-blog Community——Taking “Myspace 9911 Micro-blog”for an Example[J].Library and Information Service, 2011,55(4):39-43.)

[13] 苏娜,张志强,刘志辉. 基于链接分析的图林博客显著度分析[J]. 情报资料工作 ,2010(1):98-102.(Su Na,Zhang Zhiqiang,Liu Zhihui.An Analysis of the Salience of Librarianship Blog Based on Link Analysis[J].Information and Documentation Services, 2010(1):98-102.)

[14] 第一季新浪微博用户量[EB/OL].(2011-06-29).[2011-12-22]. Number of Users Using Sina Microblog Service in First Quarter[EB/OL].(2011-06-29).[2011-12-22].

[15] 张玥,朱庆华.Web2.0环境下学术交流的社会网络分析——以博客为例[J]. 情报理论与实践 ,2009,32(8):28-32.(Zhang Yue,Zhu Qinghua.The Social Network Analysis of Academic Exchange Network in the Web2.0 Environment——Take Blog as an Example[J].Information Studies:Theory and Application, 2009,32(8):28-32.)

[16] 刘军.整体网分析讲义:UCINET软件实用指南[M].上海:上海人民出版社,2009:60-65.(Liu Jun.Lectures on Whole Network Approach:A Practical Guide to UCINET[M].Shanghai: Shanghai People's Publishing House,2009:60-65.)

[17] 王陆.虚拟学习社区的社会网络结构研究[D]. 兰州:西北师范大学,2009.(Wang Lu.The Research of Social Network Structure of the Virtual Learning Community[D].Lanzhou:Northwest Normal University,2009.)
[1] Gao Yilin,Min Chao. Comparing Technology Diffusion Structure of China and the U.S. to Countries Along the Belt and Road[J]. 数据分析与知识发现, 2021, 5(6): 80-92.
[2] Li Yueyan,Wang Hao,Deng Sanhong,Wang Wei. Research Trends of Information Retrieval——Case Study of SIGIR Conference Papers[J]. 数据分析与知识发现, 2021, 5(4): 13-24.
[3] Zhang Mengyao, Zhu Guangli, Zhang Shunxiang, Zhang Biao. Grouping Microblog Users of Trending Topics Based on Sentiment Analysis[J]. 数据分析与知识发现, 2021, 5(2): 43-49.
[4] Xi Yunjiang, Du Diedie, Liao Xiao, Zhang Xuehong. Analyzing & Clustering Enterprise Microblog Users with Supernetwork[J]. 数据分析与知识发现, 2020, 4(8): 107-118.
[5] Li Tiejun,Yan Duanwu,Yang Xiongfei. Recommending Microblogs Based on Emotion-Weighted Association Rules[J]. 数据分析与知识发现, 2020, 4(4): 27-33.
[6] Liang Yanping,An Lu,Liu Jing. Topic Resonance of Micro-blogs on Similar Public Health Emergencies[J]. 数据分析与知识发现, 2020, 4(2/3): 122-133.
[7] Xu Yuemei,Liu Yunwen,Cai Lianqiao. Predicitng Retweets of Government Microblogs with Deep-combined Features[J]. 数据分析与知识发现, 2020, 4(2/3): 18-28.
[8] Han Kangkang,Xu Jianmin,Zhang Bin. Recommending Microblogs with User’s Interests and Multidimensional Trust[J]. 数据分析与知识发现, 2020, 4(12): 95-104.
[9] Peng Guan,Yuefen Wang. Advances in Patent Network[J]. 数据分析与知识发现, 2020, 4(1): 26-39.
[10] Bocheng Li,Yunqiu Zhang,Kaixi Yang. Extracting Emotion Tags from Comments of Microblog Commodities[J]. 数据分析与知识发现, 2019, 3(9): 115-123.
[11] Lu An,Yanping Liang. Selection of Users’ Behaviors Towards Different Topics of Microblog on Public Health Emergencies[J]. 数据分析与知识发现, 2019, 3(4): 33-41.
[12] Linna Xi,Yongxiang Dou. Examining Reposts of Micro-bloggers with Planned Behavior Theory[J]. 数据分析与知识发现, 2019, 3(2): 13-20.
[13] Chen Fen,Fu Xi,He Yuan,Xue Chunxiang. Identifying Weibo Opinion Leaders with Social Network Analysis and Influence Diffusion Model[J]. 数据分析与知识发现, 2018, 2(12): 60-67.
[14] Wang Zhongyi,Zhang Heming,Huang Jing,Li Chunya. Studying Knowledge Dissemination of Online Q&A Community with Social Network Analysis[J]. 数据分析与知识发现, 2018, 2(11): 80-94.
[15] Gao Yongbing,Yang Guipeng,Zhang Di,Ma Zhanfei. Detecting Events from Official Weibo Profiles Based on Post Clustering with Burst Words[J]. 数据分析与知识发现, 2017, 1(9): 57-64.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938