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Title: An evolving model for the lodging-service network in a tourism destination
Authors: Hernández, Juan M. 
Gonzalez-Martel, Christian 
UNESCO Clasification: 530602 Innovación tecnológica
531290 Economía sectorial: turismo
Keywords: Bipartite networks
One-mode projection
Social networks
Issue Date: 2017
Journal: Physica A: Statistical Mechanics and its Applications 
Abstract: Tourism is a complex dynamic system including multiple actors which are related each other composing an evolving social network. This paper presents a growing model that explains how part of the supply components in a tourism system forms a social network. Specifically, the lodgings and services in a destination are the network nodes and a link between them appears if a representative tourist hosted in the lodging visits/consumes the service during his/her stay. The specific link between both categories are determined by a random and preferential attachment rule. The analytic results show that the long-term degree distribution of services follows a shifted power-law distribution. The numerical simulations show slight disagreements with the theoretical results in the case of the one mode degree distribution of services, due to the low order of convergence to zero of X-motifs. The model predictions are compared with real data coming from a popular tourist destination in Gran Canaria, Spain, showing a good agreement between analytical and empirical data for the degree distribution of services. The theoretical model was validated assuming four type of perturbations in the real data.
ISSN: 0378-4371
DOI: 10.1016/j.physa.2017.04.051
Source: Physica A: Statistical Mechanics and its Applications[ISSN 0378-4371],v. 482, p. 296-307
Appears in Collections:Artículos
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