As more people take part in online conversations, awareness of the varying conversational styles and social mores afforded by different software is growing. However, this awarenes...
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Data visualization, commonly used to make large sets of numerical data more legible, also has enormous potential as a storytelling tool to elicit insights on long-standing social ...
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
: This paper addresses the challenge of enhancing social interaction through value-added connections among online community members engaged in knowledge exchange. We report on our ...
Albert A. Angehrn, Katrina Maxwell, Bertrand Seren...