全球电商数据技术的知识流动网络构建与分析——基于发明专利的实证

为刻画全球电子商务领域的知识跨境流动特征，选取电商数据技术的发明专利数据，基于“知识生产-知识传播-知识消费”的知识流动分析框架，构建发明人跨境合作网络、申请人跨境合作网络、专利国际申请网络、同族专利跨境申请网络、专利跨境引证网络和专利跨境转让网络，对6类网络的结构特征、相关关系及回归关系进行测算、检验和分析。结果显示：电商数据技术的6类知识流动网络均具有小世界特征，网络间存在一定的正相关关系，其中发明人合作网络与申请人合作网络的相关性最大；美国在各类网络中都处于核心位置，而我国仅在知识传播网络中处于次核心位置，在其他网络中都比较边缘。最后，提出中国电商数据技术领域知识流动网络关系的治理策略。

Construction and Analysis of Knowledge Flow Network of Global E-commerce Data Technology:Empirical Evidence Based on Invention Patents

In order to describe the characteristics of knowledge cross-border flow in the field of global E-commerce, selecting the invention patent data of E-commerce data technology, the inventor cross-border cooperation network, applicant cross-border cooperation network, patent overseas application network, patent family cross-border application network, patent cross-border citation network and patent cross-border transfer network are constructed, based on the knowledge flow analytical framework of ''knowledge production-knowledge dissemination-knowledge consumption''. The structural characteristics, correlation and regression relationship of the six types of networks are measured, tested and analyzed. The results show that the six types of knowledge flow networks of E-commerce data technology all have small-world characteristics, and there is a certain positive correlation between the networks. Among them, the correlation between the inventor cross-border cooperation network and the applicantcross-border cooperation network is the largest， the United States is in the core position in all kinds of networks, while China is only in the sub-core position in the knowledge dissemination network, and is relatively marginal in other networks. Finally, the study puts forward the governance strategy of knowledge flow network relationship in the field of E-commerce data technology in China.