They Know Where You Live!

In this paper, we demonstrate the possibility of predicting people’s hometowns by using their geotagged photos posted on Flickr website. We employ Kruskal’s algorithm to cluster photos taken by a user and predict the user’s hometown. Our results prove that using social profiles of photographers allows researchers to predict the locations of their taken photos with higher accuracies. This in return can improve the previous methods which were purely based on visual features of photos [1].

[1]  Albert-László Barabási,et al.  Understanding individual human mobility patterns , 2008, Nature.

[2]  Alexei A. Efros,et al.  IM2GPS: estimating geographic information from a single image , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[3]  Jasmine Novak,et al.  Geographic routing in social networks , 2005, Proc. Natl. Acad. Sci. USA.

[4]  Lars Backstrom,et al.  Find me if you can: improving geographical prediction with social and spatial proximity , 2010, WWW '10.

[5]  Alexei A. Efros,et al.  Image sequence geolocation with human travel priors , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[6]  Jon M. Kleinberg,et al.  The small-world phenomenon: an algorithmic perspective , 2000, STOC '00.