: We develop a method to create taxonomies in large social networks solely based on users group membership information. We illustrate our technique using an example of the Flickr p...
Marc Egger, Kai Fischbach, Peter A. Gloor, Andre L...
A number of online video social networks, out of which YouTube is the most popular, provides features that allow users to post a video as a response to a discussion topic. These f...
This paper describes a technique for making personalized recommendations from any type of database to a user based on similarities between the interest pro le of that user and tho...
We examine tagging behavior on Flickr, a public photosharing website. We build on previous qualitative research that exposed a taxonomy of tagging motivations, as well as on socia...
Privacy practices in social network sites often appear paradoxical, as content-sharing behavior stands in conflict with the need to reduce disclosure-related harms. In this study ...