We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. ...
The Hierarchical Layer Graph (HL graph) is a promising network topology for wireless networks with variable transmission ranges. It was introduced and analyzed by Meyer auf der He...
The identification of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ...
Researchers have not studied e-commerce distrust as much as ecommerce trust. This study examines whether trust and distrust are distinct concepts. If trust and distrust are the sa...
In this study, we introduce a model transformation tool for a time-triggered language: Giotto. The tool uses graphs to represent the source code (Giotto) and the target (the sched...