Hotspots and Cutting-Edge Visual Analysis of Digital Museum in China Using Data Mining Technology.

Area of Science:

• Digital Humanities
• Museum Studies
• Information Science

Background:

• Digital museum development is increasingly important globally.
• Systematic literature reviews on digital museums are scarce.
• This study focuses on academic research in China from 2000-2021.

Purpose of the Study:

• To analyze the volume, hotspots, frontiers, and trends in Chinese digital museum research.
• To identify key institutions and collaboration patterns.
• To provide insights for future digital museum development in China.

Main Methods:

• Data mining techniques applied to academic literature.
• Analysis of publications from the CNIK database.
• Visualization and analysis using CiteSpace software.

Main Results:

• Significant growth in digital museum literature from 2000-2021.
• Universities are primary research drivers; research institutes and museums play key roles.
• Lack of cooperation between research institutes noted.
• Digital technology advancement is crucial for smart museum transformation.
• User-centered platforms are vital for post-epidemic digital museum success.

Conclusions:

• Chinese digital museum research aims to build sustainable museums preserving cultural heritage.
• Digital museum construction in China has unique characteristics and potential global contributions.
• Enhanced international collaboration can foster better understanding and development.