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基于图书借阅网络的各类书籍关系研究
引用本文:陈晓威,孙建军.基于图书借阅网络的各类书籍关系研究[J].图书情报工作,2017,61(11):21-28.
作者姓名:陈晓威  孙建军
作者单位:南京大学信息管理学院 南京 210023
基金项目:本文系国家社会科学基金重大项目"面向学科领域的网络信息资源深度聚合与服务研究"(项目编号:12&ZD221)研究成果之一。
摘    要:目的/意义] 挖掘图书馆借阅数据,从网络属性、节点重要性和社团模块来研究各学科书籍之间的关系,有助于指导图书资源管理、读者服务和学科建设工作。方法/过程] 基于复杂网络的理论和方法对图书馆学生借阅数据进行分析,以各类目书籍为节点,构建图书共现网络。在此基础上,对加权网络的网络属性和节点重要性进行探讨,并通过随机游走算法划分书籍社团。结果/结论] 研究揭示了书籍及学科间的内在联系,同时,也为加权网络的实证研究提供一定的经验材料。

关 键 词:图书馆借阅数据  网络科学  加权网络  书籍关系  
收稿时间:2017-04-12

The Relationships Among Books Based on the Book-borrowing Network
Chen Xiaowei,Sun Jianjun.The Relationships Among Books Based on the Book-borrowing Network[J].Library and Information Service,2017,61(11):21-28.
Authors:Chen Xiaowei  Sun Jianjun
Institution:School of Information Management, Nanjing University, Nanjing 210023
Abstract:Purpose/significance] Mining library book-borrowing data and analyzing relationships among books of different subjects from the perspectives of the network attributes, the importance of nodes and community modules will contribute to guiding book resources management, library services and subject construction. Method/process] In order to analyze the book-borrowing data of students, this paper built a co-book network whose nodes were the books of different subjects, based on the theory and methods of the complex network. On this basis, the network attributes and the importance of nodes were analyzed in a weighted network. The books were divided into different communities by Walktrap. Result/conclusion] This research reveals the inner relationships of books, and also provides some empirical materials for empirical research of a weighted network.
Keywords:library book-borrowing data  network science  weighted network  relationships among books  
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