The Web Graph of a Tourism System
arXiv:physics/0606043 · doi:10.1016/j.physa.2007.01.008
Abstract
The website network of a tourism destination is examined. Network theoretic metrics are used to gauge the static and dynamic characteristics of the webspace. The topology of the network is found partly similar to the one exhibited by similar systems. However, some differences are found, mainly due to the relatively poor connectivity and clusterisation of the network. These results are interpreted by considering the formation mechanisms and the connotation of the linkages between websites. Clustering and assortativity coefficients are proposed as quantitative estimations of the degree of collaboration and cooperation among destination stakeholders.
14 pages, 3 figures, 2 tables, accepted in Physica A
References in corpus (9)
- Statistical mechanics of complex networks
- The structure and function of complex networks
- Efficient Behavior of Small-World Networks
- Assortative mixing in networks
- Evolution of networks
- Mixing patterns in networks
- Spectra of "Real-World" Graphs: Beyond the Semi-Circle Law
- Spectra and eigenvectors of scale-free networks
- Assortative model for social networks
Cited by in corpus (7)
- Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications
- Travel and tourism: Into a complex network
- The Web of Connections between Tourism Companies in Elba: Structure and Dynamics
- Network science: a review focused on tourism
- An evolving model for the supply network in a tourism destination
- Tourism destinations as digital business ecosystems
- Knowledge transfer in a tourism destination: the effects of a network structure