Using metrological methods, this paper analyzes data crawled from micro-blogging of Hexun.com and also uses Pajek to view the social network structure of Hexun micro-blogging. The result shows that, the characters of micro-blogging users have favorable statistic characteristics, and the regional disparities between micro-blogging users are quite remarkable. Moreover, two kinds of micro-blogging users account for almost 90% of the total users. This paper is helpful for other researchers to study micro-blogging users behavior.
赵文兵, 朱庆华, 吴克文, 黄奇. 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, 27(2): 69-75.
Zhao Wenbing, Zhu Qinghua, Wu Kewen, Huang Qi. Analysis of Micro-blogging User Character and Motivation ——Take Micro-blogging of Hexun.com as an Example. New Technology of Library and Information Service, 2011, 27(2): 69-75.
[3] Broder A, Kumar R, Maghoul F, et al. Graph Structure in the Web [J].Computer Networks,2000,33(1-6): 309-320.
[4] Nardi B A, Schiano D J, Gumbrecht M, et al. Why We Blog [J].Communications of the ACM, 2004,47(12): 41-46.
[5] Honeycutt C, Herring S C. Beyond Microblogging: Conversation and Collaboration via Twitter . In: Proceedings of the 42nd Hawaii International Conference on System Sciences.2009:1-10.
[6] Java A, Song X, Finin T, et al. Why We Twitter: Understanding Micro-blogging Usage and Communities . In: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis, University of Maryland, Baltimore County. ACM Press, 2007
[7] Naaman M, Boase J, Lai C H. Is It Really About Me?:Message Content in Social Awareness Streams . In: Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work, New York.2010: 189-192.