The network structure of visited locations according to geotagged social media photos

Christian Junker, Zaenal Akbar, Martí Cuquet.
In: Camarinha-Matos L., Afsarmanesh H., Fornasiero R. (eds) Collaboration in a Data-Rich World, PRO-VE 2017, pp. 276-283. IFIP Advances in Information and Communication Technology, vol 506. Springer, Cham.
[ arXiv:1704.04739 | Bibtex ]

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.

@inproceedings{Junker2017_network,
  title = {The network structure of visited locations according to geotagged
social media photos},
  author = {Junker, Christian and Akbar, Zaenal and Cuquet, Mart{\'{\i}}},
  booktitle = {Collaboration in a Data-Rich World, PRO-VE 2017},
  series = {IFIP Advances in Information and Communication Technology},
  volume = {506},
  publisher = {Springer},
  address = {Cham},
  pages = {276--283},
  numpages = {8},
  year = {2017},
  arxivId = {1704.04739},
  doi = {10.1007/978-3-319-65151-4_26},
}