知识网络视角下科学、技术、产业间创新驱动关系识别方法研究  

Identification Method of Innovation Driving Relationships among Science,Technology,and Industry from the Perspective of the Knowledge Network

作　　者：王超[1] 许海云 齐砚翠 武华维 Wang Chao;Xu Haiyun;Qi Yancui;Wu Huawei(Business School,Shandong University of Technology,Zibo 255000;Shandong Normal University Library,Jinan 250014;Archives of Northwestern Normal University,Lanzhou 730070)

机构地区：[1]山东理工大学管理学院,淄博255000 [2]山东师范大学图书馆,济南250014 [3]西北师范大学档案馆,兰州730070

出　　处：《情报学报》2024年第1期10-24,共15页Journal of the China Society for Scientific and Technical Information

基　　金：国家自然科学基金项目“基于弱信号时效网络演化分析的变革性科技创新主题早期识别方法研究”(72274113);山东省自然科学基金项目“基于弱信号分析的变革性创新主题早期识别方法研究”(ZR202111130115)。

摘　　要：开展科学、技术、产业之间创新驱动关系研究,对于实现科学发现、技术创新与产业的深度有效融合与发展具有重要意义。本文从知识网络视角展开科学、技术、产业间创新驱动关系识别方法研究。首先,通过构建时效知识网络,利用社区网络结构熵来表征知识网络结构特征;其次,利用网络结构特征信息间的传递熵探究创新过程中科学、技术、产业三个系统相互驱动的关系;再其次,采用互信息探测主要驱动关系下知识传递路径的变化特点;最后,以再生医学(干细胞)领域作为实证对象,实证研究发现不同时间阶段,科学、技术、产业之间的相互驱动关系会发生转变,三者知识传递路径上知识内容前后继承关系也不同,科学驱动技术过程中的知识传递路径继承性特征持续增强,而技术驱动科学过程中的知识传递路径继承性呈现不稳定、非连续性特征。此外,通过多种方式论证了本文方法的科学有效性,可以用于其他创新领域科学、技术、产业间创新驱动关系的识别。Research on the relationship between innovation drivers in science,technology,and industry is crucial for achieving deep and effective integration and development of scientific discovery,technological innovation,and industry.This study investigates innovation-driven relationships between science,technology,and industry through the lens of knowledge networks.First,a temporal knowledge network is constructed to capture the structural characteristics of the knowledge network using the concept of structural entropy in the community network.Subsequently,this study explores the relationship between the three systems of science,technology,and industry in the innovation process by analyzing the transfer entropy between the characteristic information of the network structure.Furthermore,the changing characteristics of the knowledge transfer path under the main driving relationship are examined using mutual information.Finally,empirical research focuses on the field of regenerative medicine(stem cells)to investigate how the mutual driving relationships among science,technology,and industry vary at different stages.This study also reveals different inheritance patterns of knowledge content on the knowledge transmission path among the three systems.In science-driven technology processes,the inheritance characteristics of the knowledge transfer path are consistently strengthened.However,in technology-driven science,the inheritance of the knowledge-transfer path is unstable and exhibits discontinuous characteristics.Moreover,this study demonstrates the scientific validity of the proposed method through various means and suggests its applicability in identifying innovation-driven relationships among science,technology,and industry in other innovation fields.

关 键 词：知识网络 科学-技术-产业关联 驱动关系 结构熵 

分 类 号：G301[文化科学] G353.1[经济管理—世界经济] F124.3