We propose a new approach-called PK-clustering-to help social scientists create meaningful
clusters in social networks. Many clustering algorithms exist but most social scientists find …

The last decade has witnessed many visual analytics (VA) systems that make successful
applications to wide-ranging domains like urban analytics and explainable AI. However …

Since the inception of electronic health records (EHR) and population health records
(PopHR), the volume of archived digital health records is growing rapidly. Large volumes of …

We introduce the notion of a data-first design study which is triggered by the acquisition of
real-world data instead of specific stakeholder analysis questions. We propose an …

Finding line-chart images similar to a given line-chart image query is a common task in data
exploration and image query systems, eg finding similar trends in stock markets or medical …

This article introduces embComp, a novel approach for comparing two embeddings that
capture the similarity between objects, such as word and document embeddings. We survey …

In this paper, we discuss the challenges one faces when evaluating authoring systems
developed to help people design visualization for communication purposes. We reflect on …

Revealing the evolution of science and the intersections among its sub-fields is extremely
important to understand the characteristics of disciplines, discover new topics, and predict …

Map‐like visualizations of patient‐specific cardiovascular structures have been applied in
numerous medical application contexts. The term map‐like alludes to the characteristics …

Temporal networks can naturally model real‐world complex phenomena such as contact
networks, information dissemination and physical proximity. However, nodes and edges …