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Tourism is a complex dynamic system including multiple actors which arerelated each other composing an evolving social network. This paper presents agrowing bipartite network model that explains the rise of the supply network ina tourism destination from the beginning phases of development. The nodes arethe lodgings and services in a destination and a link between them appears if arepresentative tourist hosted in the lodging visits/consumes the service duringhis/her stay. The specific link between both categories are determined by arandom and preferential attachment rule. The analytic results show that thelong-term degree distribution of services follows a shifted power-lawdistribution. The numerical simulations show slight disagreements with thetheoretical results in the case of the one-mode degree distribution ofservices, due to the low order of convergence to zero of X-motifs. The modelpredictions are compared with real data coming from a popular touristdestination in Gran Canaria, Spain, showing a good agreement between numericaland empirical data.

An evolving model for the supply network in a tourism destination