We present results from an experiment aimed at using logs of interactions with a visual
analytics application to better understand how interactions lead to insight generation. We …

The accessibility of infovis authoring tools to a wide audience has been identified as a major
research challenge. A key task in the authoring process is the development of visual …

We present a novel visual exploration method based on small multiples and large singles for
effective and efficient data analysis. Users are enabled to explore the state space by offering …

Visualization has proven to be a useful tool for understanding network structures. Yet the
dynamic nature of social media networks requires powerful visualization techniques that go …

Interaction is fundamental to data visualization, but what “interaction” means in the context of
visualization is ambiguous and confusing. We argue that this confusion is due to a lack of …

Visualization provides a powerful means for data analysis. But to be practical, visual
analytics tools must support smooth and flexible use of visualizations at a fast rate. This …

The base learners and labeled samples (shots) in an ensemble few-shot classifier greatly
affect the model performance. When the performance is not satisfactory, it is usually difficult …

Animations are commonplace in today's user interfaces. From bouncing icons that catch
attention, to transitions helping with orientation, to tutorials, animations can serve numerous …

Graph databases capture richly linked domain knowledge by integrating heterogeneous
data and metadata into a unified representation. Here, we present the use of bespoke …

Self-reported social network analysis studies are often complex and burdensome, both
during the interview process itself, and when conducting data management following the …