Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …

Data exploration and visualization systems are of great importance in the Big Data era.
Exploring and visualizing very large datasets has become a major research challenge, of …

Learn How to Design Effective Visualization SystemsVisualization Analysis and Design
provides a systematic, comprehensive framework for thinking about visualization in terms of …

We present a design study of the TensorFlow Graph Visualizer, part of the TensorFlow
machine intelligence platform. This tool helps users understand complex machine learning …

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 …

Data visualization is the presentation of data in a pictorial or graphical format, and a data
visualization tool is the software that generates this presentation. Data visualization provides …

Linked Data (LD) is a well-established standard for publishing and managing structured
information on the Web, gathering and bridging together knowledge from different scientific …

Network data is ubiquitous; e-mail traffic between persons, telecommunication, transport and
financial networks are some examples. Often these networks are large and multivariate …

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 …

Graph visualizations encode relationships between objects. Abstracting the objects into
group structures provides an overview of the data. Groups can be disjoint or overlapping …