An essential facet of the data deluge is the need for different types of users to apply
visualizations to understand how data analyses and queries relate to each other …

Understanding predictive models, in terms of interpreting and identifying actionable insights,
is a challenging task. Often the importance of a feature in a model is only a rough estimate …

The analysis of large graphs plays a prominent role in various fields of research and is
relevant in many important application areas. Effective visual analysis of graphs requires …

We present NodeXL, an extendible toolkit for network overview, discovery and exploration
implemented as an add-in to the Microsoft Excel 2007 spreadsheet software. We …

As datasets grow and analytic algorithms become more complex, the typical workflow of
analysts launching an analytic, waiting for it to complete, inspecting the results, and then re …

We report the results of interviewing thirty professional data analysts working in a range of
industrial, academic, and regulatory environments. This study focuses on participants' …

Researchers and users of Information Visualization are convinced that it has value. This
value can easily be communicated to others in a face-to-face setting, such that this value is …

A common goal in graph visualization research is the design of novel techniques for
displaying an overview of an entire graph. However, there are many situations where such …

Extracting useful knowledge from large network datasets has become a fundamental
challenge in many domains, from scientific literature to social networks and the web. We …

Recently, an approach for determining the value of a visualization was proposed, one
moving beyond simple measurements of task accuracy and speed. The value equation …