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.
|Titolo:||Exploiting Social Images to Understand Tourist Behaviour|
|Data di pubblicazione:||2017|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|