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A social network analysis of international tourism flow

Author

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  • Hwayoon Seok

    (Kyung Hee University)

  • George A. Barnett

    (University of California)

  • Yoonjae Nam

    (Kyung Hee University)

Abstract

Using a social network analysis, this study explored how the structure of international tourism has changed longitudinally. The international tourism remained relatively stable from 2002 to 2014. The networks of outbound and inbound international tourism have decentralized gradually. Based on a quadratic assignment procedure (QAP) analysis, each of four study years of international tourism network was found to be correlated. The groups formed by CONCOR analysis have similarities in terms of their continent, language, culture, economy, and population. Furthermore, outdegree, indegree, betweenness, eigenvector centrality are correlated with each other, and GDP is correlated with outdegree, indegree, betweenness, eigenvector centrality, and population.

Suggested Citation

  • Hwayoon Seok & George A. Barnett & Yoonjae Nam, 2021. "A social network analysis of international tourism flow," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 419-439, April.
    • Handle: RePEc:spr:qualqt:v:55:y:2021:i:2:d:10.1007_s11135-020-01011-8
    DOI: 10.1007/s11135-020-01011-8
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    References listed on IDEAS

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    Cited by:

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    7. Yuewei Wang & Cong Lu & Hang Chen & Yuyan Zhao, 2022. "Evaluation and Spatial Characteristics of Cooperation among Tourist Attractions Based on a Geographic Information System: A Case Study of The Yangtze River Delta Region, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    8. Bowen Xiang & Rushuang Chen & Gaofeng Xu, 2022. "Uncovering Network Heterogeneity of China’s Three Major Urban Agglomerations from Hybrid Space Perspective-Based on TikTok Check-In Records," Land, MDPI, vol. 12(1), pages 1-21, December.
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