Abstract: 【Purpose/significance】Excavating the relationship between characters in Tan Yankai's Diary from the perspective of digi⁃tal humanities and forming a visual map of the relationship between diary characters and present is helpful to transform unstructured diary text into more clear and intuitive information and expand the existing development ideas and scope of celebrity diary resources.【Method/process】This paper takes the contents of Tan Yankai's Diary from 1923-1926 as the research object, extracts the entity ele⁃ments of characters with the same present relationship, uses the Gephi data visualization software to construct the network of diary characters with the co-occurrence relationship, and analyzes and discusses the network topology, character centrality and character group characteristics based on modularization and k-core by means of quantitative statistics, social network analysis and literature evidence-based methods.【Result/conclusion】This paper provides an idea for the study of the effective development of Tan Yankai's
Diary, and shows the feasibility of using digital humanities and social network analysis images and expanding historical cognition by digital humanities and social network analysis.【Innovation/limitation】The study constructs the co-occurrence relationship network of the characters in Tan Yankai's diary, analyzes and visualizes it from different perspectives, and compares it with relevant historical re⁃search, so as to show the mining process and results of the diary text content in a more audio-visual way, and provide reference for the development of other historical archival resources. However, the extracted data is in partial time quantum, which can only show the specific character relationships in this period. The mining and presentation of more and richer character relationships need a longer pe⁃
riod of data and more relevant materials.