The paper develops a novel computational framework for predicting communication flow in social networks based on several contextual features. The problem is important because pred...
Munmun De Choudhury, Hari Sundaram, Ajita John, Do...
We examine the marriage of recent probabilistic generative models for social networks with classical frameworks from mathematical economics. We are particularly interested in how ...
Sham M. Kakade, Michael J. Kearns, Luis E. Ortiz, ...
With the continued advances of Web 2.0, health-centered Online Social Networks (OSNs) are emerging to provide knowledge and support for those interested in managing their own heal...
In the paper, we present an approach to mining a directed social network from a message board on the Internet where vertices denote individuals and directed links denote the flow ...
Naohiro Matsumura, David E. Goldberg, Xavier Llor&...
This study extends previous research that showed how informal social sanctions can backfire when members prefer friendship over enforcement of group norms. We use a type of neural...