Network analysis of big data research in tourism

Li, Xin and Law, Rob,(2019), Network analysis of big data research in tourism. , Tourism Management Perspectives, Elsevier Ltd

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This study aims to provide a comprehensive network analysis to understand the current state of big data research in tourism by investigating multi-disciplinary contributions relevant to big data. A comprehensive network analytical method, which includes co-citation, clustering and trend analysis, is applied to systematically analyse publications from 2008 to 2017. Two unique data sets from Web of Science are collected. The first data set focuses on big data research in tourism and hospitality. The second data set involves other disciplines, such as computer science, for a comparison with tourism. Results suggest that applications of social media and usergenerated content are gaining momentum, whereas theory-based studies on big data in tourism remain limited. Tourism and other relevant domains have similar concerns with the challenges involved in big data, such as privacy, data quality and appropriate data use. This comparative network analysis has implications for future big data research in tourism.
Keywords : Big data Tourism studies Co-citation analysis Network analysis Research trends, UNSPECIFIED
Journal or Publication Title: Tourism Management Perspectives
Item Type: Article
Subjects: Manajemen
Depositing User: Arief Eryka Zendy
Date Deposited: 16 Dec 2019 07:42
Last Modified: 16 Dec 2019 07:42

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