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Hyperlink network analysis of a multi destination region: the case of Halland, South Sweden

Author

Listed:
  • Fanni Zoé Éber

    (Mid-Sweden University)

  • Rodolfo Baggio

    (Bocconi University
    National Research Tomsk Polytechnic University)

  • Matthias Fuchs

    (Mid-Sweden University)

Abstract

Over the past years, attention has been given to the relevance of network studies as an analytical tool to assess essential features of a tourism destination. This work analyzes the network of Halland County, a tourism destination in South Sweden. The study aims at enhancing the body of knowledge and the comprehension of the structural characterization of the tourism network, deriving indications for policy makers and local stakeholders in order to improve the effectiveness and efficiency of the regional tourism system. Tourism stakeholders’ websites were explored using hyperlink network analysis (Baggio in Phys A 379(2):727–734, 2007; Raisi et al. in J Travel Res https://doi.org/10.1177/0047287517708256 , 2017). Findings highlight the need for strengthened industry ties and contribute to the industry-wide discussion on exploring network topology as a key source of knowledge for destination management and development, respectively.

Suggested Citation

  • Fanni Zoé Éber & Rodolfo Baggio & Matthias Fuchs, 2018. "Hyperlink network analysis of a multi destination region: the case of Halland, South Sweden," Information Technology & Tourism, Springer, vol. 20(1), pages 181-188, December.
    • Handle: RePEc:spr:infott:v:20:y:2018:i:1:d:10.1007_s40558-018-0108-9
    DOI: 10.1007/s40558-018-0108-9
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    References listed on IDEAS

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    1. Rodolfo Baggio & Matthias Fuchs, 2018. "Network science and e-tourism," Information Technology & Tourism, Springer, vol. 20(1), pages 97-102, December.
    2. Baggio, Rodolfo, 2007. "The web graph of a tourism system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 727-734.
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    Citations

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    Cited by:

    1. Hulya Bakirtas & Vildan Gulpinar Demirci, 2022. "Can Google Trends data provide information on consumer’s perception regarding hotel brands?," Information Technology & Tourism, Springer, vol. 24(1), pages 57-83, March.
    2. Baggio, Rodolfo, 2020. "Tourism destinations: A universality conjecture based on network science," Annals of Tourism Research, Elsevier, vol. 82(C).
    3. Shanshan Shi & Menghao Liu & Jianchao Xi, 2022. "Hierarchical Structure and Organizational Model of County Tourism Network of the Tibetan Plateau," Land, MDPI, vol. 11(11), pages 1-18, October.

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