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We investigate how to organize a large collection of geotagged photos, working with a dataset of about 35 million images collected from Flickr. Our approach combines content analysis based on text tags and image data with structural analysis based on geospatial data. We use the spatial distribution of where people take photos to define a relational structure between the photos that are taken at popular places. We then study the interplay between this structure and the content, usingdoi:10.1145/1526709.1526812 dblp:conf/www/CrandallBHK09 fatcat:tkxiyqqth5evdave2plygueabu