Difference between revisions of "Research Area: Network analysis and Tourism"

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<div align="right">''[http://wiki.ifitt.org/index.php/E-tourism_research <- e-Tourism Research Areas]''</div>
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'''Description of this research area'''
'''Description of this research area'''

Latest revision as of 09:49, 25 September 2015

<- e-Tourism Institutions
<- e-Tourism Research Areas
<- e-Tourism Education Programs
IFITT eTourismKnowledgeMap LOW-RES 20.jpg

Description of this research area

Tourism and tourism systems can be defined in many ways, but, even if there is scarce agreement on possible definition, a tourism system, like many other economic and social systems, is undoubtedly a complex dynamic system. Among the many possible ways to study a complex system, its representation as a network is especially effective. Complex networks, in fact, can well represent the intricate interactions between the different components, are interesting models, and provide a sound basis for the researchers to study their structural and dynamic characteristics.

Network science has provided in the last years numerous tools for studying the structure and the dynamic behavior of many complex systems present in nature, technology and society. Most studies have dealt so far with networks where vertices correspond to single elements or subsystems, and edges indicate interactions or relationships between vertices. Moreover, a significant number of systems can be treated as composite assemblies of interacting networks that may combine in multiple ways and generate systems whose properties cannot be simply inferred by combining those of their constituents and, often, depend on the strength of the topological coupling between the different components.



Bocconi University


Prof. Dr. Rodolfo Baggio

Research projects in this research area

Publications published by this institute characterizing this research area

Baggio, R. (2008). Symptoms of complexity in a tourism system. Tourism Analysis, 13(1), 1-20.

Baggio, R., Scott, N., & Cooper, C. (2010). Improving tourism destination governance: a complexity science approach. Tourism Review, 65(4), 51-60.

Baggio, R., Scott, N., & Cooper, C. (2010). Network science - a review focused on tourism. Annals of Tourism Research, 37(3), 802–827.