中文摘要：

利用复杂网络的方法研究淘宝网在线评论行为特征,对化妆水品类下具有追加评论的的群体,构建了一个二分网络模型,并探讨了追加评论网络的分布特征,以及在线评论网主要簇群的特征。通过对评论者发起评论的时间特征进行分析,发现普通评论的时间分布有两个明显的“峰”,追加评论的时间分布则表现为长尾分布特征,这说明了不同的评论形式具有特定的时间规律性。

英文摘要：

By using the method of complex networks on taobao, com online review behavioral characteristics, a bipartite graph network model for make-up water category was built. The distribution of appended online review and the characteristics of the main cluster were discussed. Through the analysis of time characteristics, found the average review time distribution has two obvious ＂peak＂ , appended online review period distribution follows the long tail distribution, which observed their special discipline.