Daniel P Vieira, E. R. Junior, Gabriel de Lacerda Rangel
{"title":"New entrants for attractions network evolution","authors":"Daniel P Vieira, E. R. Junior, Gabriel de Lacerda Rangel","doi":"10.1177/14673584231151895","DOIUrl":null,"url":null,"abstract":"Social network analysis has been widely used in tourism studies. Few studies, however, adopted the tourist perspective as a source of analysis or analyze how interactions in the network evolve. The present work analyzes the evolution of the tourist attractions network. Social network analysis was used as analysis technique to map the relationships between tourist attractions in a Brazilian destination based on user-generated content collected from the TripAdvisor website. Results confirm the perspective that density is positively associated with destination development and resilience to economic turmoil. Despite network stability, one can observe network evolution from the entry of new actors. The findings indicate different strategies for entering the network and confirm the perspective that the network evolves in a non-linear way.","PeriodicalId":47333,"journal":{"name":"Tourism and Hospitality Research","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism and Hospitality Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/14673584231151895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
Social network analysis has been widely used in tourism studies. Few studies, however, adopted the tourist perspective as a source of analysis or analyze how interactions in the network evolve. The present work analyzes the evolution of the tourist attractions network. Social network analysis was used as analysis technique to map the relationships between tourist attractions in a Brazilian destination based on user-generated content collected from the TripAdvisor website. Results confirm the perspective that density is positively associated with destination development and resilience to economic turmoil. Despite network stability, one can observe network evolution from the entry of new actors. The findings indicate different strategies for entering the network and confirm the perspective that the network evolves in a non-linear way.
期刊介绍：
Tourism and Hospitality Research is firmly established as a leading and authoritative, peer-reviewed journal for tourism and hospitality researchers and professionals. Tourism and Hospitality Research covers: • Hospitality and tourism operations • Marketing and consumer behaviour • HR management • Social Media and Marketing • Technology • Planning and development • Policy • Performance and financial management • Strategic implications • Environmental aspects • Forecasting and prediction • Revenue management • Impact assessment and mitigation • Globalisation • Research methodologies • Leisure and culture • Risk Management • Change Management
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