Exploring the evolution of global trends and knowledge structure in intangible cultural heritage: insights from topic modeling

Intangible cultural heritage (ICH) research is increasingly interdisciplinary, yet its evolving knowledge structure remains insufficiently mapped. This study applies Structural Topic Modeling to ICH-labelled publications indexed in the Web of Science Core Collection. Eight latent topics are identified and synthesized into three thematic domains, revealing shifting scholarly priorities across technology, sustainability, and spatial governance within ICH-labelled research. The findings provide a structured overview of recent developments in this field.

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Publication Details

Journal
npj Heritage Science
Published
2026-03-12
DOI
https://doi.org/10.1038/s40494-026-02410-0
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring the evolution of global trends and knowledge structure in intangible cultural heritage: insights from topic modeling

Qing Han
npj Heritage Science
Computational and Text Analysis Methods
article

Exploring the evolution of global trends and knowledge structure in intangible cultural heritage: insights from topic modeling

Qing Han
article en

Abstract

Intangible cultural heritage (ICH) research is increasingly interdisciplinary, yet its evolving knowledge structure remains insufficiently mapped. This study applies Structural Topic Modeling to ICH-labelled publications indexed in the Web of Science Core Collection. Eight latent topics are identified and synthesized into three thematic domains, revealing shifting scholarly priorities across technology, sustainability, and spatial governance within ICH-labelled research. The findings provide a structured overview of recent developments in this field.

npj Heritage ScienceVol. 14(1)
Zhejiang Chinese Medical University (CN)
Renmin University of China, Zhejiang Chinese Medical University, National Social Science Fund of China
Openalex Percentile: Top 46%
Computational and Text Analysis Methods
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