Analysis of Scholar Collaboration Map Based on Graph Database Neo4j——Taking the Field of Digital Humanities as an Example

Abstract

[Purpose/Significance] In the context of deep digital development, digital humanities as a development field of interdisciplinary deep integration, the scientific research cooperation among scholars is becoming more and more frequent. It is necessary to analyze and excavate the increasingly complex cooperation relationship, to help scholars obtain potential cooperation opportunities to promote academic exchanges. [Method/Process] In this paper, scholars, institutions and keywords were used as node data, and coauthors, citations, posts and research topics were used as relational data to build scholar-collaboration graphs, which was stored based on the graph database Neo4j. Cypher query language and GDS algorithm library were used to analyze the cooperation community discovery, core scholar identification and cooperation trend prediction of scholars in the field of digital humanities. [Results/Conclusion] The experimental results show that Neo4j can better realize the construction and analysis of scholars' cooperation network in the field of digital humanities. It can help scholars quickly find interdisciplinary scholars who are highly related to their research interests and directions among many researchers, so as to promote scholars' cooperation and discipline development in the field of digital humanities.

Keywords

• digital humanities