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

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

Journal of Data and Information Science
Volume 11 (2026): Issue 1 (February 2026)
By: Qining Peng,  Xian Zhang and  Zhenkang Fu  
Open Access
|Dec 2025

Authors

Qining Peng

pengqining24@mails.ucas.ac.cn

National Science Library (Chengdu), Chinese Academy of Sciences, Chengdu, China
Department of Information Resource Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China

Xian Zhang

zhangx@clas.ac.cn

National Science Library (Chengdu), Chinese Academy of Sciences, Chengdu, China
Department of Information Resource Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China

Zhenkang Fu

fuzhenkang@163.com

School of Information Management, Nanjing University, Nanjing, China
DOI: https://doi.org/10.2478/jdis-2025-0058 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 201 - 240
Submitted on: Jul 22, 2025
|
Accepted on: Nov 12, 2025
|
Published on: Dec 28, 2025
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Keywords:
Industry-University-Research (IUR) collaboration networks,
Key technologies,
Bipartite network,
Information entropy,
Exponential Random Graph Model (ERGM)
Related subjects:
Computer sciences,
Information technology,
Computer sciences,
Project management,
Computer sciences,
Databases and data mining

© 2025 Qining Peng, Xian Zhang, Zhenkang Fu, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

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