Database Reference
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or if it is more traveling that influences and creates social networks. The major
contributions of
Gaito et al.
(
2011
) are the definition of the so-called geocom-
munity and the creation of a complex network-based methodology to extract
geocommunities from GPS data applying clustering algorithm.
Kisilevich et al.
(
2010a
) propose an approach for analyzing trajectories of people, using geo-
tagged photos collected from the photo-sharing site Flickr and a Wikipedia
database of points of interest (POI). In his article,
Purves
(
2011
) discusses
the utilization of user-generated content (UGC) as a data source for studying
geographic questions, and proposes two examples: the derivation of vernacular
regions and trajectory analysis.
Jankowski et al.
(
2011
), in order to discover
itineraries and preferences of landmarks in an urban context, aggregated geo-
tagged photos downloaded fromFlickr. They were able to find precise events that
attracted the attention of photographers. A spatial analysis of movement trajec-
tories led to interesting findings related to photographers' itineraries.
Lucchese
et al.
(
2012
) were able to extract, from photos published on Flickr, touristic
points of interest in a city and provide automatically generated, personalized
recommendations.
