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New Technology of Library and Information Service  2013, Vol. 29 Issue (7/8): 94-100    DOI: 10.11925/infotech.1003-3513.2013.07-08.14
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Analysis on Statistical Characteristic and Dynamics for User Behavior in Microblog Communities
He Jing, Guo Jinli, Xu Xuejuan
Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
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Abstract  Using the complex network and statistical methods, this paper analyzes the network topology and user behavior characteristics of the Sina micro-blogging on the individual and group levels. The results show that human behaviors have different multi-scaling characteristics. Of which, node degree distribution and microblog-post behavior approximately obey the power law distribution; however the forwarding and comment behavior obeys exponential truncated power-law distribution. Based on this, the interest-driven mechanism and heavy-tail characteristics of the user behavior are studied and some commonalities are botained. It is helpful to the research of public opinion propagation dynamics.
Key wordsMicro-blogging      Social network      User behavior      Exponential truncated power-law distribution     
Received: 03 June 2013      Published: 02 September 2013



Cite this article:

He Jing, Guo Jinli, Xu Xuejuan. Analysis on Statistical Characteristic and Dynamics for User Behavior in Microblog Communities. New Technology of Library and Information Service, 2013, 29(7/8): 94-100.

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[1] 中国互联网络信息中心.中国互联网络发展状况统计报告[R/OL].[2013-05-16]. Internet Network Information Center. China Internet Development Statistics Report[R/OL].[2013-05-16].
[2] Barabási A L. The Origin of Bursts and Heavy Tails in Human Dynamics[J].Nature,2005,435:207-211.
[3] 赵庚生,张宁.群体用户的网页浏览模式[A].//郭进利,周涛,张宁,等.人类行为动力学模型[M].香港:上海系统科学出版社,2008:138-143.(Zhao Gengsheng, Zhang Ning. The Patterns of Web Browse for Group Users[A].//Guo Jinli, Zhou Tao, Zhang Ning, et al. Dynamic Model of Human Behavior[M].HongKong: Shanghai System Scientific Publishers, 2008:138-143.)
[4] 洪伟,韩筱璞,周涛,等.短信息通信中的多重标度特性[A].//郭进利,周涛,张宁,等.人类行为动力学模型[M].香港:上海系统科学出版社, 2008:108-117.(Hong Wei, Han Xiaopu, Zhou Tao, et al. Multi-scale Characteristics of Short Message Communication[A].//Guo Jinli, Zhou Tao, Zhang Ning, et al. Dynamic Model of Human Behavior[M].HongKong: Shanghai System Scientific Publishers, 2008:108-117.)
[5] 周涛.在线电影点播中的人类动力学模式[J]. 复杂系统与复杂性科学,2008,5(1):1-5.(Zhou Tao. Human Activity Pattern on On-line Movie Watching[J].Complex Systems and Complexity Science, 2008, 5(1):1-5.)
[6] 樊超,郭进利,纪雅莉, 等.基于图书借阅的人类行为标度律分析[J]. 图书情报工作,2010,54(15):35-39.(Fan Chao, Guo Jinli, Ji Yali, et al. Analysis of Human Behavior Scaling Law Based on Library Loans[J]. Library and Information Service, 2010,54(15):35-39.)
[7] 戴双星,陈冠雄,周涛,等.兴趣驱动的人类动力学模型研究[A].//郭进利,周涛,张宁,等.人类行为动力学模型[M].香港:上海系统科学出版社,2008:54-58. (Dai Shuangxing, Chen Guanxiong, Zhou Tao, et al. Research on Interest-Driven Human Dynamics Model[A].//Guo Jinli, Zhou Tao, Zhang Ning, et al. Dynamic Model of Human Behavior[M].HongKong: Shanghai System Scientific Publishers, 2008:54-58.)
[8] Guo J, Fan C, Guo Z. Weblog Patterns and Human Dynamics with Decreasing Interest[J]. The European Physical Journal B-Condensed Matter and Complex Systems, 2011, 81(3): 341-344.
[9] 尹书华.基于复杂网络的微博用户关系网络特性研究[J]. 西南师范大学学报:自然科学版, 2011, 36(6): 57-61.(Yin Shuhua. A Research of User Relations Properties Based on a Complex Network of Microblog[J]. Journal of Southwest China Normal University:Natural Science Edition, 2011, 36(6): 57-61.)
[10] Yan Q, Yi L, Wu L. Human Dynamic Model Co-driven by Interest and Social Identity in the MicroBlog Community[J]. Physica A: Statistical Mechanics and Its Applications, 2012, 391 (4) :1540-1545.
[11] 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[J]. New Technology of Library and Information Service, 2011(2):69-75.)
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