Abstract: The modeling studies for the online social network will help to understand the characteristics of the network structure and evolution mechanisms. In order to improve the accuracy of description of online social network model, this paper analyzes the relevant characteristics of Sina-Weibo network evolution, and combines with the community structure in complex networks and preferential attachment characteristic, it puts forward COMW（Community-Oriented Model for Weibo） network model. It proves including the degree distribution, clustering coefficient, network efficiency, the evolution of community structure of COMW model by simulation experiment. Experiments show that the COMW model has obvious small world characteristics and distinct community structure, and in a number of features is in line with the Weibo network, can reasonably describe the Weibo network.

Key words: complex network, social network, network model, scale-free, community structure

摘要： 针对在线社交网络进行建模研究将有助于理解其网络特征结构和演化机制，为了提高网络模型描述在线社交网络的准确性，分析统计了新浪微博网络演化相关特征，并结合复杂网络中社团结构特征和优先连接特性提出了COMW（Community-Oriented Model for Weibo）网络演化模型。通过实验模拟验证了COMW模型的包括度分布、聚类系数、网络效率、社团结构演化等网络特征。实验表明，COMW模型具有明显的小世界特性和明显的社团结构，并在多项特征上均符合微博网络，能够较为合理地表征微博网络的演化。

关键词: 复杂网络, 社交网络, 网络模型, 无标度, 社团结构