基于标准必要专利的产业技术轨道识别与演化研究OA

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.