Analysis of Book Loan Transition Patterns Using Markov Chains
Keywords:
Markov Chain, Transition Patterns, Book Borrowing, University LibraryAbstract
University libraries serve as strategic information hubs supporting academic activities. A key challenge is leveraging borrowing data to inform evidence-based collection planning. This study aims to analyze patterns of book borrowing transitions using Markov Chains. The data utilized consists of physical book borrowing records sorted by member and transaction time. The Markov Chain method was applied to construct a transition probability matrix, thereby identifying dominant borrowing sequences. The results reveal transition patterns between books, which librarians can use to plan collections more effectively. These findings are expected to help improve the efficiency of collection management and support data-driven decision-making.
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