Evolutionary Trajectories Identification in Electric Power Domain from the Perspective of Science-technology Linkages
The technological transformation is progressing rapidly,and it is imperative to explore the patterns of technological development and promptly identify the direction of technological evolution.Traditional methods for revealing technological evolution trajectories primarily focus on individual innovative elements such as papers or patents,lacking comprehensive studies on their interconnections.Using the power grid domain as a case study,three citation networks are constructed:one based on paper citations,another on patent citations,and a third on mutual citations between patents and papers.Through the key-route main path analysis method,the evolutionary trajectories of scientific research,technological development,and science and technology linkage are extracted.In future research,semantic and contextual features of references and traversal weighting algorithms should be combined to improve the objectivity and accuracy of the main path analysis.Comparative analysis of these three trajectories reveals that the citation network integrating mutual citations between patents and papers can generate more complex patterns of linkage between science and technology.Simultaneously,it identifies multiple research frontiers in various sub-domains,such as sub-domains of power transmission and storage technology,intelligent systems,multi-agent systems,and network control systems.
main path analysisscience-technology linkagesevolutionary trajectorieselectric power domain
万方数据
维普
