数字图书馆论坛2026，Vol.22Issue(1)：20-30,11.DOI:10.3772/j.issn.1673-2286.2026.01.003
基于标准必要专利的产业技术轨道识别与演化研究
Identification and Evolution of Industrial Technology Tracks Based on Standard Essential Patents
摘要
Abstract
Accurately identifying industrial technology tracks and revealing their evolutionary patterns are key foundations for scientifically assessing technological development trends and proactively planning industrial innovations.This study constructs a doubly weighted patent citation network based on IPC co-occurrence weighting and CiteRank algorithm weighting,integrating cluster analysis with SPC algorithm to identify technical main paths.By utilizing multidimensional evaluation metrics,it assesses the roles of standard essential patents,categorizes technology track types,and analyzes their evolutionary characteristics and future trends.Empirical research in the field of wireless communication demonstrates that this method can classify industrial technology tracks into leading,frontier,marginal,and other types based on standard essential patents,systematically revealing the structural features,evolutionary patterns,and development potential of each type,thereby providing a quantitative tool for industrial technology foresight,innovation planning,and standard formulation.关键词
技术轨道/主路径识别/标准必要专利/双加权引证网络/演化分析Key words
Technology Track/Main Path Identification/Standard Essential Patent/Dual-Weighted Citation Network/Evolution Analysis分类
社会科学引用本文复制引用
陈可鑫,董坤,慕青秀,崔子航..基于标准必要专利的产业技术轨道识别与演化研究[J].数字图书馆论坛,2026,22(1):20-30,11.基金项目
本研究得到山东哲学社会科学领军人才"111"培育项目"山东省重点产业关键核心技术识别及预测方法研究"(编号:25CLJJ40)、山东省高等学校青创团队计划支持项目"山东省重点产业关键核心技术精准布局研究"(编号:2022RW057)资助. （编号:25CLJJ40）
