以我国29个省市2000年至2015年的发明专利授权数为样本，应用Eviews软件，在对样本数据进行平稳性检验及格兰杰因果关系检验的基础上，构建区域创新关联关系网络。论文采用社会网络分析的方法，并运用Ucinet软件，分析我国区域创新关联关系网络发展状况。实证研究表明：区域创新关联关系网络整体密度为0.1687，各子群密度仍有较大差异；第一、四子群的密度明显差异于第二、三子群的密度，且第四子群省市数量最多；区域创新关联关系网络内部的各省市创新关联关系分布不均，子群间的融合度也较差。

Taking the authorized number of invention patents of China's 29 provinces during 2000 to 2015 years as the sample data, this paper carries out stationarity test and Grainger causality test for sample data by using Eviews software. On this basis, it constructs regional innovation linkage network. This paper uses social network analysis method and Ucinet software to analyze the development of regional innovation linkage network in China.The empirical study shows that the overall density of regional innovation correlation network in China is 0.1687, and the density of each subgroup is still quite different. The density of the first, fourth subgroups is obviously different from the density of the second, third subgroups, and the number of the fourth subgroups and provinces is the most. The innovation related relationship among provinces in China's regional innovation linkage network is uneven, and the fusion degree between subgroups is also poor.