Analysis of Social Networks on the Don Vasco tourist route in Michoacán, Mexico, a post-covid-19 analysis

Resumen

Replace Social Network Analysis (ARS) and Smart Tourist Destinations (DTI) are closely interrelated in the tourism industry due to the multitude of goods and services, both direct and indirect, required for their development. Overall, the tourism sector was impacted by the Covid-19 pandemic, resulting in border closures and a decline in visitor numbers. Therefore, the main objective of this article is to calculate the clustering coefficient on the Don Vasco tourist route, referring to ARS in an environment taking its initial steps toward the construction of an DTI. To achieve this, the Delphi method was employed, involving the application of a semi-structured questionnaire processed using Gephi software. Additionally, information was systematized for analysis, taking into account central actors and tourism operators along the route. Among the obtained results, it is noteworthy that there is an 83% clustering coefficient among central actors and a 90% coefficient among tourism operators. This demonstrates that ARS on the route establishes a robust convex relationship between associations and tourism operators, which remains resilient to changes in the tourism industry, thereby contributing to social cohesion amidst the aftermath of Covid-19.