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 applicant cross-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.
NETL
NSTL
万方数据
