基于科学-技术双层网络的区域技术机会识别方法研究

doi:10.3772/j.issn.1000-0135.2026.04.008

情报学报

2026, Vol. 45

Issue (4): 566-578 DOI: 10.3772/j.issn.1000-0135.2026.04.008

情报技术与应用

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基于科学-技术双层网络的区域技术机会识别方法研究

白光永¹, 毛进^1,2, 白云¹, 李纲^1,2

1.武汉大学信息管理学院，武汉 430072
2.武汉大学信息资源研究中心，武汉 430072

Method for Identifying Regional Technological Opportunities Based on Science-Technology Multilayer Network

Bai Guangyong¹, Mao Jin^1,2, Bai Yun¹, Li Gang^1,2

1.School of Information Management, Wuhan University, Wuhan 430072
2.Center for Studies of Information Resources, Wuhan University, Wuhan 430072

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摘要技术机会识别已成为推动科技创新的重要手段，区域则是创新资源集聚与技术应用落地的关键空间单元。区域技术机会的准确识别，有利于提升区域科技规划能力，推动区域技术创新。本文提出一种面向区域的技术机会识别方法，以专利引用科学文献为依据，建立科学与技术之间的关联关系，构建科学-技术双层网络，设计基于GraphSAGE（graph sample and aggregate）的SAGE-TSN（SAGE for Tech-Sci network）模型，深度融合技术节点的区域特征与全域特征、科学特征和技术特征，以此构建链接预测方法，实现对区域技术机会的精准预测。实验结果表明，本文方法在准确率、召回率等指标上显著优于多种基准模型，识别出的机会具备较高的活跃度与重要性；有效提高了区域技术机会识别的准确性和区域适应性，展现出良好的应用潜力与推广前景。

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	白光永
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关键词 ：区域技术机会识别, 区域创新, 科学-技术双层网络, 深度学习, 链接预测

收稿日期: 2025-07-30

基金资助:国家社会科学基金重大项目“情报学视角下的科技安全领域国家竞争研究”（23&ZD222）。

作者简介: 白光永，2000年生，硕士研究生，主要研究方向为科技预测与数据挖掘；毛进，1988年生，博士，副教授，博士生导师，主要研究方向为信息组织、大数据分析；白云，1997年生，博士研究生，主要研究方向为科学社会学；李纲，通信作者，1966年生，博士，教授，博士生导师，主要研究方向为信息资源管理、竞争情报，E-mail：imiswhu@aliyun.com；

引用本文:

白光永, 毛进, 白云, 李纲. 基于科学-技术双层网络的区域技术机会识别方法研究[J]. 情报学报, 2026, 45(4): 566-578.
Bai Guangyong, Mao Jin, Bai Yun, Li Gang. Method for Identifying Regional Technological Opportunities Based on Science-Technology Multilayer Network. 情报学报, 2026, 45(4): 566-578.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2026.04.008 或 https://qbxb.istic.ac.cn/CN/Y2026/V45/I4/566

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