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dc.contributor.authorScott, Noel
dc.contributor.authorBaggio, Rodolfo
dc.contributor.authorCooper, Chris
dc.description.abstractThis chapter discusses the emerging network science approach to the study of complex adaptive systems and applies tools derived from statistical physics to the analysis of tourism destinations. The authors provide a brief history of network science and the characteristics of a network as well as different models such as small world and scale free networks, and dynamic properties such as resilience and information diffusion. The Italian resort island of Elba is used as a case study allowing comparison of the communication network of tourist organizations and the virtual network formed by the websites of these organizations. The study compares the parameters of these networks to networks from the literature and to randomly created networks. The analyses include computer simulations to assess the dynamic properties of these networks. The results indicate that the Elba tourism network has a low degree of collaboration between members. These findings provide a quantitative measure of network performance. In general, the application of network science to the study of social systems offers opportunities for better management of tourism destinations and complex social systems.
dc.publisherEmerald Group Publishing
dc.relation.ispartofjournalAdvances in Culture, Tourism and Hospitality Research
dc.subject.fieldofresearchTourism not elsewhere classified
dc.titleNetwork analysis methods for modeling tourism inter-organizational systems
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorScott, Noel

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