Spread Dynamics of Tourism-Related Messages within Social Networks

Dan Luo, Bojian Xiong () and Yu Cao ()
Additional contact information
Dan Luo: School of Tourism, Jiangxi Science & Technology Normal University, No. 589 XueFu Avenue, Nanchang, Jiangxi 330038, P. R. China
Bojian Xiong: School of Tourism, Jiangxi Science & Technology Normal University, No. 589 XueFu Avenue, Nanchang, Jiangxi 330038, P. R. China
Yu Cao: School of Tourism, Jiangxi Science & Technology Normal University, No. 589 XueFu Avenue, Nanchang, Jiangxi 330038, P. R. China

Journal of Information & Knowledge Management (JIKM), 2023, vol. 22, issue 02, 1-18

Abstract: 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’s importance were integrated. Within the simulated small-world networks, we observed two distinct patterns in the spread dynamics. The patterns were determined by individuals’ willingness to share messages and the message’s 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.

Keywords: Perception; tourism-related message; network; spread dynamics; media (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219649222500964
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:jikmxx:v:22:y:2023:i:02:n:s0219649222500964

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219649222500964

Access Statistics for this article

Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh

More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().