While the primary goal of visual analytics research is to improve the quality of insights and
findings, a substantial amount of research in provenance has focused on the history of …

There is fast‐growing literature on provenance‐related research, covering aspects such as
its theoretical framework, use cases, and techniques for capturing, visualizing, and …

Context: concept Maps (CMs) enable the creation of a schematic representation of a domain
knowledge. For this reason, CMs have been applied in different research areas, including …

Visual text analytics has recently emerged as one of the most prominent topics in both
academic research and the commercial world. To provide an overview of the relevant …

During asynchronous collaborative analysis, handoff of partial findings is challenging
because externalizations produced by analysts may not adequately communicate their …

The multiplicity of computing and display devices currently available presents new
opportunities for how visual analytics is performed. One of the significant inherent …

Synchronous colocated collaborative sensemaking requires that analysts share their
information and insights with each other. The challenge is to know when is the right time to …

The increasing volume of text data is challenging the cognitive capabilities of expert
analysts. Machine learning and crowdsourcing present new opportunities for large-scale …

As Visual Analytics (VA) research grows and diversifies to encompass new systems,
techniques, and use contexts, gaining a holistic view of analytic practices is becoming ever …

When crime analysts collaborate to solve crime cases, they need to share insights in order to
connect the clues, identify a pattern, and attribute the crime to the right culprit. We designed …