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Users’ Book-Loan Behaviors Analysis and Knowledge Dependency Mining

  • Fei Yan
  • Ming Zhang
  • Jian Tang
  • Tao Sun
  • Zhihong Deng
  • Long Xiao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6184)

Abstract

Book-loan is the most important library service. Studying users’ book-loan behavior patterns can help libraries to provide more proactive services. Based on users’ book-loan history in a university library, we could build a book-borrowing network between users and books. Furthermore, users who borrow the same books are linked together. The users and links then form a co-borrowing network which can be regarded as a knowledge sharing network. Both the book-borrowing network and the co-borrowing network can be used to study users’ book-loan behavior patterns. This paper presents a study in analyzing users’ book-loan behaviors and mining knowledge dependency between schools and degrees in Peking University. The mining work is based on the book-borrowing network and its corresponding co-borrowing network. To the best of our knowledge, it is the first work to mine knowledge dependency in digital library domain.

Keywords

Digital Library Social Network Analysis Data Mining Technology Knowledge Dependency Digital Library Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Fei Yan
    • 1
  • Ming Zhang
    • 1
  • Jian Tang
    • 1
  • Tao Sun
    • 1
  • Zhihong Deng
    • 1
  • Long Xiao
    • 2
  1. 1.School of Electronics Engineering and Computer SciencePeking University 
  2. 2.Library of Peking University 

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