Exploring city structure from georeferenced photos using graph centrality measures

Authors:
Katerina Vrotsou;Natalia Andrienko;Gennady Andrienko;Piotr Jankowski
Affiliations:
Fraunhofer Institute IAIS, Sankt Augustin, Germany;Fraunhofer Institute IAIS, Sankt Augustin, Germany;Fraunhofer Institute IAIS, Sankt Augustin, Germany;San Diego State University, San Diego, CA
Venue:
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Year:
2011

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Abstract

We explore the potential of applying graph theory measures of centrality to the network of movements extracted from sequences of georeferenced photo captures in order to identify interesting places and explore city structure. We adopt a systematic procedure composed of a series of stages involving the combination of computational methods and interactive visual analytics techniques. The approach is demonstrated using a collection of Flickr photos from the Seattle metropolitan area.