Abstract
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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