新兴技术跨界融合的知识演变研究

异质性知识整合促进了新兴技术的形成与发展，新兴技术知识网络在创新过程中呈现出跨界融合趋势。基于知识层级和知识行为，分析新兴技术跨界融合过程中知识演变机理；运用社会网络分析法，对虚拟现实技术的专利数据进行实证研究。研究结果表明：跨界融合趋势推动网络中的知识元素数量不断增加；不同知识群的知识行为有所不同，核心知识群承担了主要的知识搜索与吸收行为，引导知识群的层级衔接作用较强，对外搜索行为较突出，扩展知识群的非核心性明显。通过知识跨界搜索、知识吸收存储、知识融合重构三种知识行为，提高了知识网络中知识存量和知识水平，使得整体网络知识状态获得提升。

Research on the Knowledge Evolution in the Cross-border Integration of Emerging Technologies

Heterogeneous knowledge integration promotes the formation and development of emerging technologies, and the knowledge network of emerging technologies shows a trend of cross-border integration in the process of innovation. Based on knowledge hierarchy and knowledge behavior, the mechanism of knowledge evolution in the process of cross-border integration of emerging technologies is analyzed. Using the methods of social network analysis, the patent data of virtual reality technology are empirically studied. The results show that the number of knowledge elements in the network has increased with the trend of cross-border integration. The behavior of different knowledge groups is different. The core knowledge group undertakes the main task of knowledge search and absorption. Leading knowledge group has a strong cross-level cohesion and prominent external search behavior. The non-core nature of extending knowledge group is obvious. The knowledge stock and level in the network are improved through knowledge cross-border search, knowledge absorption and storage, and knowledge fusion and reconstruction; hence, the overall state of network knowledge is improved.