This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
Abstract--In mobile social networks (MSNets), data dissemination is an important topic, which has not been widely investigated yet. Active data dissemination is a networking paradi...
Jialu Fan, Yuan Du, Wei Gao, Jiming Chen, Youxian ...
Future large-scale software development projects will require engineering support for a diverse range of software quality attributes, such as privacy and openness. It is not feasi...
Thomas Juan, Leon Sterling, Maurizio Martelli, Viv...