Development Trend Analysis of Social Bot Based on Multi-Granularity Patent Perspective
This paper conducts multi-dimensional and multi-granularity research on social bot patents,which reveals its development profile and key technology trend.It provides decision support for the development and deployment of social bot in different applications such as public management and public opinion monitoring;First,authors use the patent measurement method to conduct a coarse-grained analysis in terms of time,region,etc.,to explain the development trend and explore technology hotspots of social bot technology.Secondly,the method of keyword extraction and hierarchical partnership network mining is proposed to obtain the key technology co-occurrence network and inventor hierarchical cooperative network.Finally,using Neo4j graph database and Gephi complex network analysis software,the fine-grained analysis and visual display of key technologies of social bots are realized.Authors analyze the patent data of social bots collected by Innography.The level of technical activities,regional mobility,and the global and hierarchical cooperation network between key technology fields and inventors are obtained.The results show that this method can better discover social bots technology topics and cooperative development trends.
social botsPatentometricsco-occurrence network of key technologieshierarchical partnership network
万方数据
维普
