We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
Employees depend on other people in the enterprise for rapid access to important information. But current systems for finding experts do not adequately address the social implicat...
Kate Ehrlich, Ching-Yung Lin, Vicky Griffiths-Fish...
An important property in a sensor network is the monitoring of temporal changes of hazardous situations such as forest fires. Rescue groups need to be aware of dynamic changes th...
Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying ...
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...