{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:14:51Z","timestamp":1753884891405,"version":"3.41.2"},"reference-count":43,"publisher":"World Scientific Pub Co Pte Ltd","issue":"02","funder":[{"name":"Jiangxi Science & Technology Normal University PhD Initial Funding","award":["2020BSQD003"],"award-info":[{"award-number":["2020BSQD003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Info. Know. Mgmt."],"published-print":{"date-parts":[[2023,4]]},"abstract":"<jats:p> Tourism-related messages can alter the images of tourism destinations. In the new media time, messages from individual perception of the destination can spread among the social networks. Here, based on three basic assumptions, we developed a model to investigate the spread dynamics of tourism-related messages. In the model, two variables of individual behaviour, representing the probabilities of sharing or forgetting the messages, respectively, and a variable to represent the message\u2019s importance were integrated. Within the simulated small-world networks, we observed two distinct patterns in the spread dynamics. The patterns were determined by individuals\u2019 willingness to share messages and the message\u2019s importance. If a majority of people choose not to send a message that they have received, the informed population will eventually become negligible; whereas, while they are inclined to spread, the informed population will remain constant over time. These patterns were influenced by neither the density of network connections nor the message sources. The message sources only determine the speed and the scale of diffusion. In summary, our model revealed the patterns of the spread of tourism-related messages. <\/jats:p>","DOI":"10.1142\/s0219649222500964","type":"journal-article","created":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T13:40:42Z","timestamp":1671111642000},"source":"Crossref","is-referenced-by-count":0,"title":["Spread Dynamics of Tourism-Related Messages within Social Networks"],"prefix":"10.1142","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7770-5207","authenticated-orcid":false,"given":"Dan","family":"Luo","sequence":"first","affiliation":[{"name":"School of Tourism, Jiangxi Science & Technology Normal University, No. 589 XueFu Avenue, Nanchang, Jiangxi 330038, P.\u00a0R.\u00a0China"}]},{"given":"Bojian","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Tourism, Jiangxi Science & Technology Normal University, No. 589 XueFu Avenue, Nanchang, Jiangxi 330038, P.\u00a0R.\u00a0China"}]},{"given":"Yu","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Tourism, Jiangxi Science & Technology Normal University, No. 589 XueFu Avenue, Nanchang, Jiangxi 330038, P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2022,12,15]]},"reference":[{"journal-title":"Journal of Information & Knowledge Management","year":"2022","author":"Akhla AAN","key":"S0219649222500964BIB001"},{"issue":"8","key":"S0219649222500964BIB002","doi-asserted-by":"crossref","first-page":"1757","DOI":"10.1080\/02642060903580649","volume":"30","author":"Baggio R","year":"2010","journal-title":"The Service Industries Journal"},{"issue":"4","key":"S0219649222500964BIB003","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1016\/S0160-7383(99)00030-4","volume":"26","author":"Baloglu S","year":"1999","journal-title":"Annals of Tourism 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