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Evol project

A comprehensive online platform for quantitative analysis of ancient literature

Bibliographic Data

ID22232255
AuthorsJun Wang (0000-0003-4485-7201, Peking University), Siyu Duan (0000-0001-8639-9830, Peking University, corresponding author), Binghao Fu (Peking University), Liangcai Gao (0000-0001-9444-1568, Peking University), Qi Su (0000-0002-6490-686X, Peking University)
Year2024
Volume11
Issue1
Publication date2024-02-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHumanities and Social Sciences Communications (JOURNAL)
Journal identifiersISSN: 2662-9992 • E-ISSN: 2662-9992
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41599-024-02763-6
OpenAlexW4391997465
LanguageEN
Citations received1
References cited33

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

Advanced Text Analysis Techniques · Computer Science · Digital Humanities and Scholarship · Engineering · Language and cultural evolution

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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