Worldwide social networks, like Facebook, face fierce competition from local platforms when expanding globally. To remain attractive social network providers need to encourage use...
This paper studies people recommendations designed to help users find known, offline contacts and discover new friends on social networking sites. We evaluated four recommender al...
Jilin Chen, Werner Geyer, Casey Dugan, Michael J. ...
To improve the search results for socially-connect users, we propose a ranking framework, Social Network Document Rank (SNDocRank). This framework considers both document contents...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
Computing technologies such as games, social networking sites, and virtual environments often reproduce forms of social stigma encountered in everyday real life, as well as introd...
: 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...