Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved ...
Movement patterns, like flocking and converging, leading and following, are examples of high-level process knowledge derived from lowlevel trajectory data. Conventional techniques...
Large graph analysis has become increasingly important and is widely used in many applications such as web mining, social network analysis, biology, and information retrieval. The...
Probabilistic reasoning with multiply sectioned Bayesian networks (MSBNs) has been successfully applied in static domains under the cooperative multiagent paradigm. Probabilistic ...
Allometric scaling is an important universal property of metabolic living systems. It also describes the self-similar branching treeliked structures in transportation networks. Thi...