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Detecting Tourism Typologies of Regional Destinations Based on Their Spatio-Temporal and Socioeconomic Performance: A Correlation-Based Complex Network Approach for the Case of Greece

Author

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  • Dimitrios Tsiotas

    (Department of Regional and Economic Development, Agricultural University of Athens, 118 55 Athens, Greece
    School of Social Sciences, Hellenic Open University, 106 77 Athens, Greece)

  • Thomas Krabokoukis

    (Department of Planning and Regional Development, University of Thessaly, 382 21 Volos, Greece)

  • Serafeim Polyzos

    (Department of Planning and Regional Development, University of Thessaly, 382 21 Volos, Greece)

Abstract

Within the context that tourism-seasonality is a composite phenomenon described by temporal, geographical, and socio-economic aspects, this article develops a multilevel method for studying time patterns of tourism-seasonality in conjunction with its spatial dimension and socio-economic dimension. The study aims to classify the temporal patterns of seasonality into regional groups and to configure distinguishable seasonal profiles facilitating tourism policy and development. The study applies a multilevel pattern recognition approach incorporating time-series assessment, correlation, and complex network analysis based on community detection with the use of the modularity optimization algorithm, on data of overnight-stays recorded for the time-period 1998–2018. The analysis reveals four groups of seasonality, which are described by distinct seasonal, geographical, and socio-economic profiles. Overall, the analysis supports multidisciplinary and synthetic research in the modeling of tourism research and promotes complex network analysis in the study of socio-economic systems, by providing insights into the physical conceptualization that the community detection based on the modularity optimization algorithm can enjoy to the real-world applications.

Suggested Citation

  • Dimitrios Tsiotas & Thomas Krabokoukis & Serafeim Polyzos, 2021. "Detecting Tourism Typologies of Regional Destinations Based on Their Spatio-Temporal and Socioeconomic Performance: A Correlation-Based Complex Network Approach for the Case of Greece," Tourism and Hospitality, MDPI, vol. 2(1), pages 1-27, February.
  • Handle: RePEc:gam:jtourh:v:2:y:2021:i:1:p:7-139:d:506612
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    References listed on IDEAS

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