本篇论文将采用一系列网络分析的研究方法对国内风险投资行业进行分析。基于国内2000-2013年内的风险投资行业数据构建了风险投资公司（VC公司）与被投资项目的二分网络。网络构建完成后，将采用中心性分析方法对二分网络进行研究，之后还将采用集聚系数分析的方法，探测出二分网络的重要节点。重要节点的判断对研究二分网络意义重大。之后为了研究VC公司的联合投资行为以及公司之间的连接程度，将采用边的集聚系数划分算法计算社团结构。基于数据的实证研究方法表明了本文将以有效的途径计算得到网络的重要节点（即核心VC公司和重要的被投资项目）和社团结构，并为国内风险投资行业的发展提供一些建议。

This paper uses a method of network analysis to analyze domestic venture capital industry. Based on the data collected from 2000 to 2013, we build a bipartite network with vertices of venture capital companies and the projects that were invested by them. After building the bipartite network, we will adopt centrality analysis and clustering analysis to decide which vertices are core members of the network. The judge of important vertices of a network is very crucial to network analysis as well as the study of domestic venture capital industry. Finally, in order to study the co-investment behavior of venture capital companies, we will use edge clustering coefficient partition algorithm to detect communities in this network. The empirical analysis shows the accuracy of this study and the result may be meaningful to domestic industry.