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The Network Structure of Visited Locations According to Geotagged Social Media Photos

Abstract : Businesses, tourism attractions, public transportation hubs and other points of interest are not isolated but part of a collaborative system. Making such collaborative network surface is not always an easy task. The existence of data-rich environments can assist in the reconstruction of collaborative networks. They shed light into how their members operate and reveal a potential for value creation via collaborative approaches. Social media data are an example of a means to accomplish this task. In this paper, we reconstruct a network of tourist locations using fine-grained data from Flickr, an online community for photo sharing. We have used a publicly available set of Flickr data provided by Yahoo! Labs. To analyse the complex structure of tourism systems, we have reconstructed a network of visited locations in Europe, resulting in around 180,000 vertices and over 32 million edges. An analysis of the resulting network properties reveals its complex structure.
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Submitted on : Wednesday, January 3, 2018 - 5:19:25 PM
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Christian Junker, Zaenal Akbar, Martí Cuquet. The Network Structure of Visited Locations According to Geotagged Social Media Photos. 18th Working Conference on Virtual Enterprises (PROVE), Sep 2017, Vicenza, Italy. pp.276-283, ⟨10.1007/978-3-319-65151-4_26⟩. ⟨hal-01674847⟩



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