The study of network representations of physical, biological, and social phenomena has developed rapidly in recent years. This paper presents a review of important results and methods of the science of networks with an application to the field of socio-economic systems. The basic definitions and computational techniques are described and the effects of a networks topology on its dynamic properties are examined and illustrated using a tourism destination as a case study (Elba, Italy). A static structural characterization of the network formed by destination stakeholders is followed by a dynamic analysis of the information diffusion process. The outcomes and the implications of this analysis for improving destination management are discussed.
Universita Bocconi, Master in Economics and Tourism
The University of Queensland, School of Tourism
University of Bottingham, Christel DeHaan Tourism and Travel Research Institute
Keywords: complex systems, network science, tourism destination, destination management
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Last updated 17 July 2015 - 10:11:31