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.
何静, 郭进利, 徐雪娟. 微博用户行为统计特性及其动力学分析[J]. 现代图书情报技术, 2013, 29(7/8): 94-100.
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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