Network science to correlate COVID-19 and tourism indicators in Mexico
DOI :
https://doi.org/10.34069/AI/2024.76.04.1Mots-clés :
Correlation, Data analysis, Network analysis, Systems engineering, Tourism.Résumé
In this paper we analyze tourism as complex system susceptible to external perturbations, like COVID-19 public health emergency. The research objective is to confirm pertinence of using transdisciplinary tools such as complexity approach and network analysis to understand and represent tourism occupancy dynamic. We used network science methodology to introduce an analysis that integrates two Mexican tourism industry indicators: Tourist Destinations occupancy rates and Hospitality-Gastronomy jobs; correlated with COVID-19 in Mexico pandemic indicator: Confirmed cases. The analysis results are based on centrality measures used to describe organizational patterns in tourism dynamic, besides we identified some generic properties of tourism occupancy distribution.
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