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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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