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基于CiteSpace知识图谱分析的旅游流网络研究进展

Research Progress of Tourism Flow Network Based on CiteSpace Knowledge Map Analysis
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摘要 以中国知网(CNKI)数据库2007~2021年旅游流网络文献为数据,采用科学计量工具CiteSpace绘制了旅游流网络研究的知识图谱,从年度发文数量、作者及机构合作、关键词共现及主题聚类等方面分析了旅游流网络的研究现状,结果显示:旅游流网络研究经历了缓慢起步、波动上升和快速增长3个阶段,发文数量与旅游政策密切相关;发文作者团队内部合作密切,团队之间合作有待加强,研究机构之间的合作呈现一定的地理邻近性特征,距离较远的研究机构合作较少;2007~2021年,旅游流网络研究尺度经历了宏观—中观—微观的转变,研究内容主要为网络结构特征、影响因素及时空演变3个方面。旅游流网络研究对于旅游线路布局、基础设施建设、城市功能区划等有重要的参考价值,未来应从理论体系构建、结构稳定性、网络仿真预测等方面深入研究。 Based on the literature on tourism flow network in CNKI database from 2007 to 2021, the scientific metrology tool CiteSpace was used to draw the knowledge map of tourism flow network research, and the research status of the tourism flow network was analyzed from the aspects of the number of annual publications, the cooperation between authors and institutions, keyword co-occurrence and topic clustering. The results showed that the research on the tourism flow network has experienced three stages: slow start, fluctuation rise, and rapid growth. The number of publications is closely related to tourism policies. The authors have close cooperation within the team, but the cooperation between the teams needs to be strengthened. The cooperation between research institutions shows a certain geographical proximity, and the research institutions with a long distance have less cooperation. From 2007 to 2021, the research scale of the tourism flow network has undergone a macro-mesoscopic-micro transformation, and the research content mainly includes three aspects: network structure characteristics, influencing factors, and spatio-temporal evolution. The study of tourism flow networks provides important reference value for tourism route layout, infrastructure construction, urban function zoning, and so on. In the future, it should be further studied from the aspects of theoretical system construction, structural stability, network simulation, and prediction.
作者 侯俊轩 王权明 Hou Junxuan;Wang Quanming(School of Geography Science,Liaoning Normal University,Dalian,Liaoning 116029,China;National Marine Environmental Monitoring Center,Dalian,Liaoning 116023,China)
出处 《绿色科技》 2023年第1期180-185,192,共7页 Journal of Green Science and Technology
关键词 旅游流网络 CiteSpace软件 网络结构 tourist flow network CiteSpace network structures
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