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Travel and tourism: Into a complex network

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  • Miguéns, J.I.L.
  • Mendes, J.F.F.

Abstract

It is discussed how the worldwide tourist arrivals, about 10% of the world’s domestic product, form a largely heterogeneous and directed complex network. Remarkably the random network of connectivity is converted into a scale-free network of intensities. The importance of weights on network connections is brought into discussion. It is also shown how strategic positioning particularly benefits from market diversity and that interactions among countries prevail on a technological and economic pattern, questioning the backbone of driving forces in traveling.

Suggested Citation

  • Miguéns, J.I.L. & Mendes, J.F.F., 2008. "Travel and tourism: Into a complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2963-2971.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:12:p:2963-2971
    DOI: 10.1016/j.physa.2008.01.058
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    References listed on IDEAS

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    1. Dorogovtsev, S.N. & Mendes, J.F.F., 2003. "Evolution of Networks: From Biological Nets to the Internet and WWW," OUP Catalogue, Oxford University Press, number 9780198515906.
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    Cited by:

    1. Hernández, Juan M. & González-Martel, Christian, 2017. "An evolving model for the lodging-service network in a tourism destination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 296-307.
    2. Armindo Frias & João Cabral & à lvaro Costa, 2015. "Logistic optimization in tourism networks," ERSA conference papers ersa15p1451, European Regional Science Association.
    3. Xiaohui Xu, 2022. "The Impacts of COVID-19 on the Rank-Size Distribution of Regional Tourism Central Places: A Case of Guangdong-Hong Kong-Macao Greater Bay Area," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    4. Xue Jiang & Xiaoya Song & Hongyu Zhao & Haoran Zhang, 2021. "Rural Tourism Network Evaluation Based on Resource Control Ability Analysis: A Case Study of Ning’an, China," Land, MDPI, vol. 10(4), pages 1-16, April.
    5. Sainaghi, Ruggero & Baggio, Rodolfo, 2017. "Complexity traits and dynamics of tourism destinations," Tourism Management, Elsevier, vol. 63(C), pages 368-382.
    6. Hu, Baoyu & Feng, Shumin & Li, Jinyang & Zhao, Hu, 2018. "Statistical analysis of passenger-crowding in bus transport network of Harbin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 426-438.
    7. Fagiolo, Giorgio & Santoni, Gianluca, 2015. "Human-mobility networks, country income, and labor productivity," Network Science, Cambridge University Press, vol. 3(3), pages 377-407, September.
    8. Jie Yin & Yahua Bi & Yingchao Ji, 2020. "Structure and Formation Mechanism of China-ASEAN Tourism Cooperation," Sustainability, MDPI, vol. 12(13), pages 1-19, July.
    9. 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.
    10. Maria Kuklina & Andrey Trufanov & Tuyana Bayaskalanova & Nina Urazova & Alexei Tikhomirov & Olga Berestneva & Olga Marukhina & Igor Vidyaev & Oksana Fisochenko & Ivan Lyzin & Elena Berestneva & Nadezh, 2020. "Network Platform for Tourism Sector: Transformation and Interpretation of Multifaceted Data," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    11. Yongrui Guo & Jie Zhang & Honglei Zhang, 2016. "Rank–size distribution and spatio-temporal dynamics of tourist flows to China’s cities," Tourism Economics, , vol. 22(3), pages 451-465, June.
    12. Davide Provenzano, 2014. "Power laws and the market structure of tourism industry," Empirical Economics, Springer, vol. 47(3), pages 1055-1066, November.

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