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- W2891726134 endingPage "47" @default.
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- W2891726134 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." @default.
- W2891726134 created "2018-09-27" @default.
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- W2891726134 date "2018-11-01" @default.
- W2891726134 modified "2023-10-16" @default.
- W2891726134 title "Network approach to tourist segmentation via user generated content" @default.
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- W2891726134 doi "https://doi.org/10.1016/j.annals.2018.09.002" @default.
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