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Mining of book-loan behavior based on coupling relationship analysis

Author

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  • Yan, Li
  • Cao, Huiying
  • Gao, Chao
  • Wang, Zhen
  • Li, Xuelong

Abstract

Book-loan system is the most significant part among all the library services. In this study, we aim to provide a new perspective for how to improve the quality of library services based on the relationship between the characteristics and book-loan behavior of students. Most existing works regarding this issue are limited to statistical study on monolayer networks. Different from them, we focus on the characteristics of students, such as class, term, region and major. We first construct a two-layer book-loan network model to portray two components (i.e., students and books) and the relationship existing in the real book-loan system. Then, we integrate different data extracted from a real book-loan dataset by different rules into the model for analyzing the effect of different characteristics of students on their book-loan behaviors. The results show that the book-loan behavior of students is relevant to the major and term, but not to the class and region. We also find that the book layer of such network exhibits the scale-free and small-world properties.

Suggested Citation

  • Yan, Li & Cao, Huiying & Gao, Chao & Wang, Zhen & Li, Xuelong, 2023. "Mining of book-loan behavior based on coupling relationship analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).
    • Handle: RePEc:eee:phsmap:v:613:y:2023:i:c:s0378437122009979
    DOI: 10.1016/j.physa.2022.128439
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    References listed on IDEAS

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    1. Zhang, Sheng-Tai & Yuan, Hao-Yu & Duan, Ling-Li, 2020. "Analysis of human behavior statistics law based on WeChat Moment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    2. Lee, Tae Ho & Lee, Jae Woo, 2021. "Self-organized human behavioral patterns in book loans from a library," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    3. Wang, Zhishuang & Guo, Quantong & Sun, Shiwen & Xia, Chengyi, 2019. "The impact of awareness diffusion on SIR-like epidemics in multiplex networks," Applied Mathematics and Computation, Elsevier, vol. 349(C), pages 134-147.
    4. Liu, Xiao Fan & Chen, Hou-Jin & Sun, Wu-Jiu, 2021. "Adaptive topological coevolution of interdependent networks: Scientific collaboration-citation networks as an example," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
    5. Chris A. Mattmann, 2013. "A vision for data science," Nature, Nature, vol. 493(7433), pages 473-475, January.
    6. Réka Albert & Hawoong Jeong & Albert-László Barabási, 1999. "Diameter of the World-Wide Web," Nature, Nature, vol. 401(6749), pages 130-131, September.
    7. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    8. Fu, Chun-Hua & Zhang, Zeng-Ping & Chang, Hui & Tao, Jian-Ru & Chen, Zhuo-Hui & Dai, Yun-Long & Zhang, Wei & He, Da-Ren, 2008. "A kind of collaboration–competition networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(5), pages 1411-1420.
    9. Lin, Zhiting & Wu, Xiaoqing & He, Dongyue & Zhu, Qiang & Ni, Jixiang, 2016. "Analyzing and modeling heterogeneous behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 287-293.
    10. Fan, Chao & Guo, Jin-Li & Zha, Yi-Long, 2012. "Fractal analysis on human dynamics of library loans," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6617-6625.
    11. Deng, Yue & Wang, Jiaxin & Gao, Chao & Li, Xianghua & Wang, Zhen & Li, Xuelong, 2021. "Assessing temporal–spatial characteristics of urban travel behaviors from multiday smart-card data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 576(C).
    12. Cheng, Le & Li, Xianghua & Han, Zhen & Luo, Tengyun & Ma, Lianbo & Zhu, Peican, 2022. "Path-based multi-sources localization in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
    13. Albert-László Barabási, 2005. "The origin of bursts and heavy tails in human dynamics," Nature, Nature, vol. 435(7039), pages 207-211, May.
    Full references (including those not matched with items on IDEAS)

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