大理大学学报 ›› 2022, Vol. 7 ›› Issue (9): 118-.

• 管理学-领导科学 • 上一篇    

国外文化旅游研究热点知识图谱分析

  

  1. (1.浙江省文化和旅游发展研究院,杭州  311231;2.浙江旅游职业学院科研处,杭州  311231)

  • 出版日期:2022-09-15 发布日期:2022-10-19

A Knowledge Mapping Analysis on Research Hotspots of  Foreign Culture Tourism

  1. (1, Zhejiang Academy of culture and Tourism development, Hangzhou 311231, China ; 2,Division of Academic Affairs and Research, Tourism College of Zhejiang, Hangzhou 311231, China)

  • Online:2022-09-15 Published:2022-10-19

摘要:

采用CiteSpace5.6.R2和SciMat1.1.4软件,从WOS数据库抽取2878篇文化旅游相关文献,进行Dual-map图谱分析,关键词聚类分析、突显分析、战略坐标图分析、网络结构变异分析等可视化分析方法,来探寻国外文化旅游研究热点的分布、演进和转折。结果发现:国外文化旅游有明显的研究热点关键词,“本真性”研究频次最高,“全球化”研究中心度最高;主题演进可以分为四个研究阶段,探索阶段(1996—1999年)、繁荣阶段(2000—2007年)、分化阶段(2008—2015年)、深化阶段(2016—2020年);研究热点形成包括15个聚类的战略坐标图;Cetin G和Bilgihan A对于目的地文化旅游体验构成要素的研究为转折性文献,为国外文化旅游研究发挥了新颖性和转折性作用。


关键词: CiteSpace, 文化旅游, 知识图谱, 研究热点, 可视化分析

Abstract:

By using CiteSpace5.6.R2and SciMat1.1.4, this paper explored the distribution, evolution, and turning of research hotspots of foreign culture tourism, through dual-map analysis, keyword cluster analysis, burst detection, strategic coordinate map analysis, network structure variation analysis and other visual analysis on 2878 Web of Science papers. The results show that: (1) There are obvious research hotspots keywords of foreign culture tourism, and the research frequency of "authenticity" is the highest, the research center degree of "globalization" is the highest; (2) The evolution of the theme can be divided into four stages: exploration stage (1996-1999), prosperity stage (2000-2007), differentiation stage (2008-2015), and deepening stage (2016-2020); (3) The formation of research hotspots includes a strategic coordinate map with 15 clusters; (4) The paper on the components of destination cultural tourism experience by Cetin G and Bilgihan A is a turning document, which played an innovative and turning role in foreign cultural tourism research.


Key words:  , CiteSpace, culture tourism, knowledge mapping, research hotspots, visual analysis