Book Borrowing Behaviour Driven Interdisciplinary Learning Interest Network Mining

With the rapid development of science and technology, interdisciplinary has become a trend of talent training and technological innovation, the interest in interdisciplinary learning has attracted more and more attention. Based on book borrowing behavior, this article studies the characteristics and rules of students' interdisciplinary learning interest. Taking the book borrowing data of 14,600 students at Northwest Normal University as an example, the library student borrowing data is analyzed based on the complex networks methods. Using disciplines as nodes to build a network of interdisciplinary learning interests. The topological properties and node importance of the weighting network are discussed, and the interest community is divided by a hierarchical clustering algorithm. The research revealed that interdisciplinary learning interest networks have the characteristics of scale-free and small-world networks; most subjects have a relationship of mutual communication and interpenetration. Among the important nodes in the network, humanities subjects have a strong influence, and humanities and social science books are the focus of this university's students' interests. Through the division of communities, it is found that there are four interdisciplinary learning communities in the network. The result of this research have guiding significance for the establishment of interdisciplinary courses, the training of multidisciplinary compound talents, the organization of interest communities, and the construction of interdisciplinary research teams.