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Evol project: a comprehensive online platform for quantitative analysis of ancient literature

Author

Listed:
  • Jun Wang

    (Peking University
    Peking University
    Peking University)

  • Siyu Duan

    (Peking University
    Peking University)

  • Binghao Fu

    (Peking University
    Peking University)

  • Liangcai Gao

    (Peking University)

  • Qi Su

    (Peking University
    Peking University
    Peking University)

Abstract

Quantitative cultural studies have witnessed a surge with the rapid development of computer technology in recent years. Since ancient literature constitutes a long-time-span repository for human culture, with quantitative methods and ancient texts, scholars can study the genesis and progression of human history and society across historical epochs from digital perspectives. Nevertheless, traditional humanities scholars often lack the requisite technical skills, creating a demand for interactive platforms. This paper introduces the Evol platform—an online tool designed for the quantitative analysis of ancient literature. Equipped with various analysis functions and visualization tools, the Evol platform allows users to quantify literary documents through intuitive online interaction. Using this platform, we investigated three cases of cultural evolution in ancient Chinese history: (1) the changing attitude of the government towards nomadic ethnic groups; (2) the formulation and propagation of an allusion phrase related to the Battle of Muye; (3) the influence of the Book of Changes across diverse cultural domains. By showcasing cases across diverse semantic units and topics, Evol demonstrates its potential in providing efficient and low-cost experimental tools catering to the realms of culturomics, history, and philology.

Suggested Citation

  • Jun Wang & Siyu Duan & Binghao Fu & Liangcai Gao & Qi Su, 2024. "Evol project: a comprehensive online platform for quantitative analysis of ancient literature," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02763-6
    DOI: 10.1057/s41599-024-02763-6
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    References listed on IDEAS

    as
    1. Mitchell G. Newberry & Joshua B. Plotkin, 2022. "Measuring frequency-dependent selection in culture," Nature Human Behaviour, Nature, vol. 6(8), pages 1048-1055, August.
    2. Mitchell G. Newberry & Christopher A. Ahern & Robin Clark & Joshua B. Plotkin, 2017. "Detecting evolutionary forces in language change," Nature, Nature, vol. 551(7679), pages 223-226, November.
    3. Siyu Duan & Jun Wang & Hao Yang & Qi Su, 2023. "Disentangling the cultural evolution of ancient China: a digital humanities perspective," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-15, December.
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