Tourism is probably the largest economic sector of the World's economy, and a tourism destination is considered to be a fundamental unit of analysis for the understanding of this industry. This research examines two such systems, Fiji islands and the island of Elba (Italy), investigating their structural characteristics. Network theoretic metrics are used to gauge the static and dynamic attributes of the networks formed by the websites belonging to the different tourism operators. The general topology is found only partly similar to the one peculiar to many complex socio-economic systems. The differences appear due to the rather poor connectivity and clusterisation of the networks. The structural characteristics are then interpreted in terms of the evolutionary growth of a tourism destination.
What network analysis can reveal of tourism destinations [Poster]
BAGGIO, RODOLFO
2007
Abstract
Tourism is probably the largest economic sector of the World's economy, and a tourism destination is considered to be a fundamental unit of analysis for the understanding of this industry. This research examines two such systems, Fiji islands and the island of Elba (Italy), investigating their structural characteristics. Network theoretic metrics are used to gauge the static and dynamic attributes of the networks formed by the websites belonging to the different tourism operators. The general topology is found only partly similar to the one peculiar to many complex socio-economic systems. The differences appear due to the rather poor connectivity and clusterisation of the networks. The structural characteristics are then interpreted in terms of the evolutionary growth of a tourism destination.
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