Augmented label propagation for seed set expansion

In many applications such as social network analysis and recommendation systems, it is of particular interest to identify a group of similar nodes/users/items. However, in networks of massive size, manual labeling process becomes intractable. A practical means is to mark a small number of nodes as seeds, and then expand them to the rest (unlabeled) ones, which is also known as seed set expansion. We present a novel method for seed set expansion...