Research on the Construction and Knowledge Discovery of Historical Social Network:a Digital Humanities Perspective
Historical social network analysis has gained significant academic attention in the emerging field of digital humanities.This study introduces a framework that utilizes a combination of explicit and implicit network representations to mine knowledge from historical figure relationships.It integrates heterogeneous data through data extraction to create a unified historical figure relationship dataset,enabling multidimensional analysis of historical networks.A network representation learning algorithm is used to generate figure vectors for semantic computing tasks and empirical analysis.A knowledge service platform is then developed to help humanities scholars in exploring the social connections and activities of historical figures related to their academic interests.
Social network analysisNetwork representation learningKnowledge discoveryDigital humanities
万方数据
维普
