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A Study on the Developing Situation Visualization of Digital Museums in China Based on Co-word Clustering
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Jiahao Liu1, Weipeng Zhu2, *
Studies on Science Popularization | 2019, 14(3) : 36 - 48
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Studies on Science Popularization | 2019, 14(3): 36-48
Theoretical Studies
A Study on the Developing Situation Visualization of Digital Museums in China Based on Co-word Clustering
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Jiahao Liu1, Weipeng Zhu2, *
Affiliations
  • 1School of Educational Information Technology, Central China Normal University, Wuhan 430079
  • 2School of Life Sciences, Central China Normal University, Wuhan 430079
Published: 2019-06-10 doi: 10.19293/j.cnki.1673-8357.2019.03.005
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Under the wave of globalization and informatization, museums are also moving towards to digitalization and intellectualization. Using the key words of digital literature research in CNKI as the data source, and employing the co-word clustering method, this study resulted in 12 research directions of digital museum research in China, and visualized them through knowledge map and strategic graph. The study showed that “Collection management and digital construction” and “Digital display and interaction” are the research hot points in the field of digital museum research; the research of “Smart museum” is self-contained, which may needs to build integration with other research fields to form new research points. Although some research directions have started, such as “The status quo and problems of digital museum construction”, “Digital museums help protect and inheritance”, “Application of digital technology in various museums”, “Museum information communication”, “Digital protection of cultural heritage”, “New media and museum culture communication”, “Museum construction in the context of the ‘Internet +’ era”, “Research on digitalization of cultural relics”, “Construction of metadata standardization”, their development is at primary stage, and need further improvement.

digital museum  /  co-word analysis  /  cluster analysis  /  knowledge map  /  scientific education
Jiahao Liu, Weipeng Zhu. A Study on the Developing Situation Visualization of Digital Museums in China Based on Co-word Clustering[J]. Studies on Science Popularization, 2019 , 14 (3) : 36 -48 . DOI: 10.19293/j.cnki.1673-8357.2019.03.005
Year 2019 volume 14 Issue 3
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doi: 10.19293/j.cnki.1673-8357.2019.03.005
  • Receive Date:2019-01-15
  • Online Date:2026-07-29
  • Published:2019-06-10
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  • Received:2019-01-15
Affiliations
    1School of Educational Information Technology, Central China Normal University, Wuhan 430079
    2School of Life Sciences, Central China Normal University, Wuhan 430079
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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