The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
This paper describes a social network site designed to support employees within an enterprise in connecting and learning about each other through personal and professional sharing...
Joan Morris DiMicco, Werner Geyer, David R. Millen...
—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...
Large numbers of college students have become avid Facebook users in a short period of time. In this paper, we explore whether these students are using Facebook to find new people...
Abstract. Estimating influence of a node is an important problem in social network analyses. We address this problem in a particular class of model for opinion propagation in whic...