Social Media-Based Tourist Flow Weighting

Christian Weismayer (), Ilona Pezenka () and Katharina Ladurner
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Christian Weismayer: Modul University Vienna
Ilona Pezenka: FH Wien der WKW University of Applied Sciences for Management & Communication
Katharina Ladurner: Modul University Vienna

A chapter in Information and Communication Technologies in Tourism 2023, 2023, pp 172-176 from Springer

Abstract: Abstract The identification of tourism flows is of great importance for the tourism industry to design memorable experiences. Since Millions of smartphone users are sharing their routes on online social networks (OSNs), social media analytics (SMA) based on location-based social networks (LBSNs) became a powerful tool to analyze tourism flows. Thus, this paper proposes a novel analytical approach to investigate tourism flows based on geotagged social media data through the weighted inclusion of comments and likes.

Keywords: Tourist flow; Travel path; Spatial representation; Social media (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-25752-0_20

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DOI: 10.1007/978-3-031-25752-0_20

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