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http://hdl.handle.net/10553/52183
Título: | Network approach to tourist segmentation via user generated content | Autores/as: | Hernández, Juan M. Kirilenko, Andrei P. Stepchenkova, Svetlana |
Palabras clave: | Bayesian Network Attractions Market |
Fecha de publicación: | 2018 | Editor/a: | 0160-7383 | Publicación seriada: | Annals of Tourism Research | Resumen: | 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 | Fuente: | Annals of Tourism Research[ISSN 0160-7383],v. 73, p. 35-47 |
Colección: | Artículos |
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