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| Method for Identifying Regional Technological Opportunities Based on Science-Technology Multilayer Network |
| Bai Guangyong1, Mao Jin1,2, Bai Yun1, Li Gang1,2 |
1.School of Information Management, Wuhan University, Wuhan 430072
2.Center for Studies of Information Resources, Wuhan University, Wuhan 430072 |
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Abstract Identifying technological opportunities has become a key driver of scientific and technological innovation, while regions serve as the key spatial arenas in which innovation resources are concentrated and technologies are deployed. To accurately discern regional technological opportunities and thereby foster regional innovation, we propose a region-centric method for identifying technological opportunities. The approach establishes science-technology linkages by mining patent-to-literature citations and constructs a science-technology multilayer network. Based on this network, we develop SAGE-TSN (SAGE for Tech-Sci Network), which is a GraphSAGE-based model that fuses regional and global features of technological nodes with their scientific and technological attributes. Subsequently, a link-prediction framework is employed to highlight regional technological opportunities. Experiments encompassing 10 Chinese cities show that, after rigorous training and benchmarking, the proposed method significantly outperforms multiple baseline models in terms of accuracy, recall, and other metrics. The identified opportunities exhibit high activity and strategic importance. The proposed method effectively enhances the accuracy and regional adaptability of technological-opportunity identification, thus demonstrating considerable potential for practical application and broader deployment.
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Received: 30 July 2025
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