Analysis of book-borrowing network using complex network analysis

In this study, we analyzed the book-borrowing network that we constructed from the database of the libraries of Ardahan University by using complex network analysis techniques. After the construction of the bipartite reader-book relationship network, we constructed reader-reader and book-book networks via one-mode projection. We performed an exploratory complex network analysis on these networks using Cytoscape and Gephi tools. We found that both networks revealed scale-free and small-world network properties like most real-world networks from diverse origins and of diverse sizes. In addition, we identified the most central books in the book-book network using several centrality measures. We also performed community analysis and identified the communities embedded in the networks visually.