Abstract Information visualization (InfoVis), the study of transforming data, information, and
knowledge into interactive visual representations, is very important to users because it …

Traditionally, studies of data visualization techniques and systems have evaluated
visualizations with respect to usability goals such as effectiveness and efficiency. These …

An ongoing debate in the Visualization community concerns the role that visualization types
play in data understanding. In human cognition, understanding and memorability are …

In this paper we move beyond memorability and investigate how visualizations are
recognized and recalled. For this study we labeled a dataset of 393 visualizations and …

A graph is an abstract model that represents relations among entities, for example, the
interactions between characters in a novel. A background story endows entities and …

One major cause of performance degradation in predictive models is that the test samples
are not well covered by the training data. Such not well-represented samples are called OoD …

For decades, researchers in information visualisation and graph drawing have focused on
developing techniques for the layout and display of very large and complex networks …

Over the last 50 years a wide variety of automatic network layout algorithms have been
developed. Some are fast heuristic techniques suitable for networks with hundreds of …

While graph drawing focuses more on the aesthetic representation of node-link diagrams,
graph visualization takes into account other visual metaphors making them useful for graph …

We present the results of evaluating four techniques for displaying group or cluster
information overlaid on node-link diagrams: node coloring, GMap, BubbleSets, and …