Exploiting Social Images to Understand Tourist Behaviour

  • G. Gallo
  • G. Signorello
  • G. M. Farinella
  • A. TorrisiEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10485)


In this paper we propose to exploit the georeferenced images publicly available on social media platforms as a source of information to get insights of the behavior of tourists. At first, the metadata of the georeferenced images are explored through Visual Analytics tools to identify trends, patterns and relationships among the information acquired by social media. Then data mining techniques are used to generate a traveling model of the area of interest. Finally, we consider sites that are likely to be jointly visited and analyze how the tourist flow goes from one to another in these cases. To confirm the effectiveness of the proposed analysis we have tested the proposed methods in a case study.


Social media Tourism management 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • G. Gallo
    • 1
    • 2
  • G. Signorello
    • 1
    • 3
  • G. M. Farinella
    • 1
    • 2
  • A. Torrisi
    • 3
    Email author
  1. 1.CUTGANAUniversity of CataniaCataniaItaly
  2. 2.Department of Mathematics and Computer Science (DMI)University of CataniaCataniaItaly
  3. 3.Department of Agriculture, Food and Environment (Di3A)University of CataniaCataniaItaly

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