Analysis of Book-borrowing Network using Complex Network Analysis

Year 2021, Volume: 10 Issue: 1, 133 - 142, 21.03.2021

Volkan Tunalı Candan Tümer

https://doi.org/10.17798/bitlisfen.683594

Cited By: 1

Abstract

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.

Keywords

Network Science, Complex Network Analysis, Bipartite Network, Library

Thanks

The authors are thankful to Ardahan University Rectorate for providing the dataset of this research.

Analysis of Book-borrowing Network using Complex Network Analysis

Abstract

Bu çalışmada, karmaşık ağ analizi teknikleri kullanarak, Ardahan Üniversitesi kütüphanelerinin veritabanından oluşturduğumuz kitap ödünç alma ağını analiz ettik. İki parçalı okuyucu-kitap ilişkisi ağını oluşturduktan sonra, tek modlu projeksiyon ile okuyucu-okuyucu ve kitap-kitap ağlarını oluşturduk. Cytoscape ve Gephi araçlarını kullanarak, bu ağlar üzerinde keşif türünden bir karmaşık ağ analizi gerçekleştirdik. Farklı kökenlerden ve farklı büyüklüklerde çoğu gerçek-hayat ağı gibi, her iki ağın ölçekten-bağımsız ve küçük-dünya ağı özellikleri sergilediğini gösterdik. Ek olarak, çeşitli merkezilik ölçütleri kullanarak, kitap-kitap ağındaki en merkezi kitapları tespit ettik. Ayrıca, topluluk analizi gerçekleştirdik ve ağda yerleşik toplulukları görsel olarak tespit ettik.

Keywords

Ağ Bilimi, Karmaşık Ağ Analizi, İki Parçalı Ağ, Kütüphane

References

• Barabási A.-L., Pósfai M. 2016. Network Science. Cambridge University Press, Cambridge, 1-475.
• Watts D.J., Strogatz S.H. 1998. Collective Dynamics of Small-world Networks. Nature, 393 (6684): 440-442.
• Barabási A.-L., Albert R. 1999. Emergence of Scaling in Random Networks. Science, 286 (5439): 509-512.
• Newman M.E.J. 2010. Networks: An Introduction. Oxford University Press, New York, US, 1-772.
• Kadushin C. 2012. Understanding Social Networks: Theories, Concepts, and Findings. Oxford University Press, New York, 1-264.
• Easley D., Kleinberg J. 2010. Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge University Press, Cambridge, 1-833.
• Bramoullé Y., Galeotti A., Rogers B. 2016. The Oxford Handbook of the Economics of Networks. Oxford University Press, New York, US, 1-841.
• Dorogovtsev S.N., Mendes J.F.F. 2003. Evolution of Networks: From Biological Nets to the Internet and WWW. Oxford University Press, Oxford, 1-280.
• Albert R., Jeong H., Barabási A.-L. 1999. Diameter of the World-Wide Web. Nature, 401 (6749): 130-131.
• Girvan M., Newman M.E.J. 2002. Community Structure in Social and Biological Networks. Proceedings of the National Academy of Sciences, 99 (12): 7821-7826.
• Barabási A.-L., Gulbahce N., Loscalzo J. 2011. Network medicine: a network-based approach to human disease. Nature Reviews Genetics, 12 (1): 56-68.
• Li N.-N., Zhang N. 2009. The Bipartite Network Study of the Library Book Lending System. First International Conference of Complex Sciences, Complex 2009, February 23-25, Shanghai, China, 773-782.
• Yan F., Zhang M., Tang J., Sun T., Deng Z., Xiao L. 2010. Users’ Book-Loan Behaviors Analysis and Knowledge Dependency Mining. 11th International Conference of Web-Age Information Management,WAIM 2010, July 15-17, Jiuzhaigou, China, 206-217.
• Han L., Zhang G., Yong B., He Q., Feng F., Zhou Q. 2019. Statistical study of characteristics of online reading behavior networks in university digital library. World Wide Web, 22 (3): 1175-1187.
• Holme P., Liljeros F., Edling C.R., Kim B.J. 2003. Network bipartivity. Physical Review E, 68 (5): 056107.
• Zweig K.A. 2016. Network Analysis Literacy: A Practical Approach to the Analysis of Networks. Springer-Verlag, Austria, 1-535.
• Tunalı V. 2016. Sosyal Ağ Analizine Giriş. Nobel Akademik Yayıncılık, Ankara, Türkiye, 1-200.
• Assenov Y.R.F., Schelhorn Se., Lengauer T., Albrecht M. 2008. Computing topological parameters of biological networks. Bioinformatics, 24 (2): 282-284.
• West B.J., Grigolini P. 2011. Complex Webs: Anticipating the Improbable. Cambridge University Press, New York, US.
• Erdös P., Rényi A. 1959. On Random Graphs. Publicationes Mathematicae Debrecen, 6: 290-297.
• Blondel V.D., Guillaume J.-L., Lambiotte R., Lefebvre E. 2008. Fast unfolding of communities in large networks. Journal of statistical mechanics: theory and experiment, 2008 (10): P10008.