摘要： 舆论在微博上的传播过程可以抽象成一个生长的复杂网络。在分析微博网络特性和用户行为习惯的基础上，考虑新用户在进入网络时的同配性，建立微博关系网络的演化模型，并对模型进行仿真。分析指出，微博网络呈现出指数与幂律的混合分布。对微博网络进行实证研究，结果表明，微博关系网络中节点的度分布服从指数截断的幂律分布，具有无标度和小世界特性，与理论分析的结果相一致。

关键词: 复杂网络, 在线社交网络, 微博, 舆论传播, 指数截断的幂律分布

Abstract: The process of public opinion propagation on the micro-blog can be abstracted as a growing complex network. Based on the analysis of the micro-blog network characteristics and users’ behavior habit, considering the assortative mixing for new user access to the network, this paper establishes an evolution model of the micro-blog relationship network and makes a model simulation. The analysis result confirms that the micro-blog network shows as exponential and power-law mixture distribution. Empirical analysis on the micro-blog user data confirms that the micro-blog network node degree distribution shows as exponential truncated power-law distribution has scale-free and small-world characteristics. It is consistent with the results of theoretical analysis.

Key words: complex network, online social network, micro-blog, public opinion propagation, exponential truncated power-law distribution

中图分类号: 

• TP393