关键词: 读者借阅行为, 可视化, 节点属性

Abstract: Book lending behavior is the main way for readers to use the library resource, and the study of lending behavior is helpful to the personalized service of the library. At present, the research of library lending behavior mostly focused on the statistics of the number and the data of mutual borrowing, and the influence of the reader's own attribute on the borrowing behavior was neglected. Based on the existing problems, from the view of attribute node, this paper presented a visualization method for the reader borrowing data with the reader node attribute common analysis, by taking Library of Zhongnan University of Economics and Law as an example, analyzed the reader borrowing behavior from multi-perspectives. Through the analysis of readers' borrowing behavior, it can provide a more in-depth analysis of library’s personalized service.

Key words: book lending behavior