【摘要】 以新浪微博为研究对象,运用复杂网络和统计学的方法从个体和群体层面对微博的网络拓扑结构和用户的行为特性进行统计分析。结果表明,微博用户的行为表现出多重的标度特性,其中节点的度分布和微博发布行为近似服从幂律分布,而转发和评论行为表现为指数截断的幂律分布。在此基础上,运用兴趣驱动机制和重尾特性对其进行分析,得到微博用户行为的一些共性。这可以为微博信息的传播动力学研究提供有益的帮助。更多还原

【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.更多还原