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 …

Modelling relationship between entities in real‐world systems with a simple graph is a
standard approach. However, reality is better embraced as several interdependent …

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

Graph visualization is an important field in information visualization that is centered on the
graphical display of graph-structured data. Yet real world data is rarely just graph-structured …

We propose the concept of teaching (and learning) unfamiliar visualizations by analogy, that
is, demonstrating an unfamiliar visualization method by linking it to another more familiar …

Visualizing network data is applicable in domains such as biology, engineering, and social
sciences. We report the results of a study comparing the effectiveness of the two primary …

Visualization of dynamically changing networks (graphs) is a significant challenge for
researchers. Previous work has experimentally compared animation, small multiples, and …

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

The graph drawing and information visualization communities have developed many
sophisticated techniques for visualizing network data, often involving complicated algorithms …

Software designs are ever changing to adapt to new environments and requirements.
Tracking and understanding changes in modules and relationships in a software project is …