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Industry-University-Research collaboration networks:the identification and driving factors of key technologies

Qining Peng Xian Zhang Zhenkang Fu

Journal of Data and Information Science2026，Vol.11Issue(1)：P.146-174,29.

Journal of Data and Information Science2026，Vol.11Issue(1)：P.146-174,29.DOI:10.2478/jdis-2025-0058

Industry-University-Research collaboration networks:the identification and driving factors of key technologies

Qining Peng ¹Xian Zhang ¹Zhenkang Fu²

作者信息

1. National Science Library(Chengdu),Chinese Academy of Sciences,Chengdu 610299,China Department of Information Resource Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China
2. School of Information Management,Nanjing University 210023,China
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摘要

关键词

Industry–University–Research(IUR)collaboration networks/Key technologies/Bipartite network/Information entropy/Exponential Random Graph Model(ERGM)

分类

社会科学

引用本文复制引用

Qining Peng,Xian Zhang,Zhenkang Fu..Industry-University-Research collaboration networks:the identification and driving factors of key technologies[J].Journal of Data and Information Science,2026,11(1):P.146-174,29.

基金项目

supported by the Project on the Construction of the Strategic Research and Decision Support System of the Chinese Academy of Sciences(GHJ-ZLZX-2025-21). （GHJ-ZLZX-2025-21）

Journal of Data and Information Science

ISSN：2096-157X

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