Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52183
Title: Network approach to tourist segmentation via user generated content
Authors: Hernández, Juan M. 
Kirilenko, Andrei P.
Stepchenkova, Svetlana
Keywords: Bayesian Network
Attractions
Market
Issue Date: 2018
Publisher: 0160-7383
Journal: Annals of Tourism Research 
Abstract: The study contributes to the tourism literature by demonstrating an approach to segmenting tourists using network analysis with user-generated content. Online reviews of destination attractions are considered as a proxy for visitation data reflective of tourists' interests. The connectivity between attractions is represented with a network of links created by tourists visiting and reviewing multiple attractions. Attraction clusters are revealed by segmenting this network using network analysis tools. Two segmentation solutions are provided: a posteriori, in which only review information is taken into account, and mixed, in which tourist groups are defined a priori by their travel interests and age, and this information is combined with visitation information. The findings are validated using geovisualization and by comparing them with randomly simulated models.
URI: http://hdl.handle.net/10553/52183
ISSN: 0160-7383
DOI: 10.1016/j.annals.2018.09.002
Source: Annals of Tourism Research[ISSN 0160-7383],v. 73, p. 35-47
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