Abstract: 【Purpose/significance】Driven by domestic education forms and intelligent technology, educational virtual community, as a network learning community for the purpose of education and learning, has become an important platform for learners to share knowl⁃edge and exchange experience. Research on the network structure of educational virtual community can help to understand the mode of information diffusion, which is beneficial to knowledge organization and knowledge management in virtual community.【Method/pro⁃cess】Based on the theory of knowledge graph, this paper takes MOOC as an example to construct the graph of knowledge communica⁃tion and analyze the network structure. This paper uses the method of social network analysis, the interactive structure and interactive relationship characteristics of knowledge communication composed of students' learning courses are analyzed from the macro and mi⁃cro perspectives, and the knowledge transmission mode is mined.【Result/conclusion】The results reveal the relationship between teachers, curriculum, institutions, students, curriculum evaluation, time and the path distance. The nodes in the student learning course network are closely connected and the community formed is obvious. The courses with higher centrality and PageRank are more popular with students. Students with higher centrality and PageRank are more active in course interaction. The results provide basis and method support for user management and knowledge management in online knowledge communication.【Innovation/limitation】
From the theoretical level, the paper discusses the theory of knowledge graph to construct knowledge transfer and knowledge dissemi⁃nation network in educational virtual community, and presents the network structure of knowledge community through visual graph.MOOC is used as a data source to analyze the network structure of educational virtual community, and the amount of sample data col⁃lected needs to be increased, which has certain limitations.