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

情报学报

2024, Vol. 43

Issue (1): 10-24 DOI: 10.3772/j.issn.1000-0135.2024.01.002

情报理论与方法

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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

王超¹, 许海云¹, 齐砚翠², 武华维³

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

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

Wang Chao¹, Xu Haiyun¹, Qi Yancui², Wu Huawei³

1.Business School, Shandong University of Technology, Zibo 255000
2.Shandong Normal University Library, Jinan 250014
3.Archives of Northwestern Normal University, Lanzhou 730070

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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。

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	王超
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关键词 ：知识网络, 科学-技术-产业关联, 驱动关系, 结构熵

收稿日期: 2023-01-11

基金资助: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）。

作者简介: 王超，男，1988年生，博士，副教授，硕士生导师，主要研究领域为科技与产业情报分析；许海云，通信作者，女，1982年生，博士，教授，博士生导师，主要研究领域为科学计量，E-mail：xuhaiyunnemo@gmail.com；齐砚翠，女，1996年生，硕士研究生，主要研究领域为科学计量；武华维，男，1985年生，博士，副研究馆员，主要研究领域为知识图谱与知识计算；

引用本文:

王超, 许海云, 齐砚翠, 武华维. 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.
Wang Chao, Xu Haiyun, Qi Yancui, Wu Huawei. Identification Method of Innovation Driving Relationships among Science, Technology, and Industry from the Perspective of the Knowledge Network. 情报学报, 2024, 43(1): 10-24.

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https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2024.01.002 或 https://qbxb.istic.ac.cn/CN/Y2024/V43/I1/10

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