Social Media-Based Tourist Flow Weighting

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.