Mapping smart tourism research in China: A semantic and social network analysis using CiteSpace

被引：0
|
作者：
Zhang Qiu [1 ]
Wang Qiang [1 ]
Hao Jin-Xing [1 ]
Yu Yan [2 ]
机构：
[1] Beihang Univ, Sch Econ & Management, Beijing, Peoples R China
[2] Renmin Univ China, Sch Informat, Beijing, Peoples R China
来源：
2016 13TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT | 2016年
关键词：
semantic network analysis; social network analysis; knowledge mapping analysis; smart tourism; scientometrics; VISUALIZING EMERGING TRENDS; SCIENTIFIC LITERATURE; TRANSIENT PATTERNS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Understanding how domain knowledge grows and evolves over time is critical to innovation in science and technology. In this study, a knowledge domain of smart tourism research in China is visually mapped through CiteSpace by a combination of semantic network analysis of research subjects and social network analysis of collaboration research network. Smart tourism related literature was collected from the leading scientific literature database CNKI in China. The results reveal the thematic patterns and emerging trends in research of smart tourism in China. The results also identify the influential smart tourism research institutes and scholars in China. The combination of semantic and social network analysis can provide a complete innovation landscape of an emerging field of science. Practical and theoretical implications are also discussed.
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页数：5
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