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

doi:10.3772/j.issn.1000-0135.2024.01.002

	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
其他题名	Identification Method of Innovation Driving Relationships among Science,Technology,and Industry from the Perspective of the Knowledge Network
	王超 1; 许海云 1; 齐砚翠 2; 武华维3
	2024-01-24
发表期刊	情报学报
ISSN	1000-0135
卷号	43 期号:1 页码:10-24
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.
其他摘要	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,empiri-cal 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
DOI	10.3772/j.issn.1000-0135.2024.01.002
URL	查看原文
语种	中文
资助项目	72274113:国家自然科学基金;ZR202111130115:山东省自然科学基金
原始文献类型	Periodical
中图分类号	G301;G353.1;F124.3
万方ID	qbxb202401002
文献类型	期刊论文
条目标识符	https://ir.nwnu.edu.cn/handle/39RV6HYL/95871
专题	直属单位_档案馆（校史研究中心）直属单位_档案馆（博物馆）
通讯作者	许海云
作者单位	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
推荐引用方式 GB/T 7714	王超,许海云,齐砚翠,等. 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[J]. 情报学报,2024,43(1):10-24.
APA	王超,许海云,齐砚翠,&武华维.(2024).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.情报学报,43(1),10-24.
MLA	王超,et al."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".情报学报 43.1(2024):10-24.