中文摘要：

复杂网络模型研究对复杂网络学科的发展起着十分重要的作用．本文提出了基于网络节点局域信息随机选择连接节点的复杂网络模型．并通过解析方法计算了网络的度分布，以及仿真分析模型的聚类系数、平均路径长度和网络的社团结构特征。仿真结果表明，本模型生成的网络同时具有小世界特性、无标度特性以及清晰的社团结构特征。已有的研究表明，该模型更加接近现实社会中的网络。

英文摘要：

Research of complex networks model plays an important role in the network science, this paper proposes an evolving model which bases on local-world information of network to select link node randomly. We calculate analytically and simulate the degree, clustering coefficient ,average of path length and community structure of the evolving model. Simulation result shows that network which evolves by the model has both small-world and scale-free property with clear community structure. The existed research manifests that this model is much more closer to the real network.