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

Qining Peng Xian Zhang Zhenkang Fu

数据与情报科学学报（英文）2026，Vol.11Issue(1)：146-174,29.

数据与情报科学学报（英文）2026，Vol.11Issue(1)：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 en-tropy/Exponential Random Graph Model(ERGM)

Key words

Industry-University-Research(IUR)collaboration networks/Key technologies/Bipartite network/Information en-tropy/Exponential Random Graph Model(ERGM)

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].数据与情报科学学报（英文）,2026,11(1):146-174,29.

基金项目

This work was 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）

数据与情报科学学报（英文）

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