In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
The tragic events of September 11th have caused drastic effects on many aspects of society. Academics in the fields of computational and information science have been called upon ...
A statistical framework for modeling and prediction of binary matrices is presented. The method is applied to social network analysis, specifically the database of US Supreme Cou...
Eric Wang, Jorge Silva, Rebecca Willett, Lawrence ...
We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answ...
We address the problem of efficiently discovering the influential nodes in a social network under the susceptible/infected/susceptible (SIS) model, a diffusion model where nodes ar...