数字图书馆论坛2026，Vol.22Issue(2)：31-42,12.DOI:10.3772/j.issn.1673-2286.2026.02.004
融合技术主题互补性和合作网络相似性的企业技术合作伙伴预测研究
Research on the Prediction of Enterprise Technology Partners Based on the Complementarity of Technology Topics and the Similarity of Cooperation Networks
摘要
Abstract
To address the information asymmetry in technology collaboration decision-making within patent-intensive industries,this study constructs a prediction model for enterprise technology partners,aiming to assist enterprises in making technology collaboration decisions.Based on patent literature,technological knowledge features are extracted,and collaboration networks are built using co-patentee relationships.The Node2vec algorithm quantifies enterprise network structural similarity,while the AT model extracts technology topic vectors combined with JS divergence to calculate the complementarity of technology topics,establishing a dual-dimensional potential partner identification model integrating both technology and network perspectives.Empirical research in the field of lithography machines shows that this model outperforms traditional single cooperative network prediction methods.It integrates the complementarity of technical themes and can effectively identify four types of potential partners:strategic synergy type,breakthrough innovation type,resource integration type,and opportunity exploration type.The research method can provide data-driven partner recommendation tools for patent-intensive industries,helping enterprises quickly identify potential partners.关键词
技术主题互补性/合作网络相似性/技术合作/预测/专利Key words
Complementarity of Technology Topics/Similarity of Cooperative Networks/Technology Collaboration/Prediction/Patent分类
社会科学引用本文复制引用
关鹏,王曰芬,傅柱..融合技术主题互补性和合作网络相似性的企业技术合作伙伴预测研究[J].数字图书馆论坛,2026,22(2):31-42,12.基金项目
本研究得到国家社会科学基金项目"面向AI4S的场景化智慧知识服务框架研究"(编号:24CTQ029)、安徽省哲学社会科学基金项目"'科学-技术-产业'关联视角下新兴技术预测研究"(编号:AHSKY2025D58)、天津市哲学社会科学规划重点项目"面向创新链产业链深度融合的京津冀专利技术转移影响机制及提升路径研究"(编号:TJTQ24-001)资助. （编号:24CTQ029）
