We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
We present an efficient distributed data structure, called the D-SPANNER, for maintaining proximity information among communicating mobile nodes. The D-SPANNER is a kinetic sparse...
We present a conceptual framework for location-aware community systems and results from two studies of how sociallydefined places influence people's information sharing and c...
Quentin Jones, Sukeshini A. Grandhi, Steve Whittak...
This paper focuses on spam blog (splog) detection. Blogs are highly popular, new media social communication mechanisms. The presence of splogs degrades blog search results as well...
Yu-Ru Lin, Hari Sundaram, Yun Chi, Jun'ichi Tatemu...