中文摘要：

针对数据缺失情况下网络的结构特征是否能够保持，在现有文献研究基础上将无偏的随机抽样扩展到有偏抽样，并将对幂律度分布这一单一结构特征的考察扩展到对网络多重结构特征的考察．通过对一个社会网络典型模型的仿真研究发现，不同的抽样方法对网络多重结构特征具有不可忽视的影响作用，而中枢抽样在一定程度上为较优的抽样策略．最后针对中枢抽样策略的实际应用给出了建议．

英文摘要：

This paper incompletely is concerned the problem of whether the structural properties of network can be kept well when data is collected. Based on the current researches on this problem, the current unbiased random sampling is extended to biased sampling and the current focus on the single property to consideration of multiple properties. By the simulation analysis for a representative model of social networks, it is found that different sampling methods have a nontrivial influence on multiple topological properties of networks and the hub sampling strategy is more applicable to some extent than others. A suggestion of how to implement the hub sampling strategy in practice was proposed.