An evolving model for the lodging-service network in a tourism destination

• Published in: Physica A Vol. 482; pp. 296 - 307
• Main Authors: Hernández, Juan M., González-Martel, Christian
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.09.2017
• Subjects: Bipartite networks; One-mode projection; Social networks; Tourism; X-motif; Tourism; X-motif; Social networks; Bipartite networks; One-mode projection
• ISSN: 0378-4371; 1873-2119
• DOI: 10.1016/j.physa.2017.04.051

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. •A growing model that represents the lodging-service network is presented.•The analytical degree distribution of services agree with numerical simulations.•Model predictions agree with user-generated data from a tourism destination.•The influence of X-motifs on the one-mode degree distribution is analyzed.