Existing dynamic weighted graph visualization approaches rely on users' mental
comparison to perceive temporal evolution of dynamic weighted graphs, hindering users …

Dynamic graph visualization attracts researchers' concentration as it represents time-varying
relationships between entities in multiple domains (eg, social media analysis, academic …

Traditionally, information visualization research tends to focus only on performance related
metrics such as task completion time and correctness. However, a recent interest on goals …

There are currently several approaches to managing longitudinal data in graphs and social
networks. All of them influence the output of algorithms that analyse the data. We present an …

We introduce a method for tracking the community evolution and a prototype (Ant-SNE) for
analyzing multivariate time series and guiding interactive exploration through high …

As the nature and types of graphs in numerous fields such as social sciences, engineering,
and biology continue to proliferate, common graph techniques no longer always suffice. In …

Bipartite graphs are typically visualized using linked lists or matrices, but these
visualizations neither scale well nor do they convey temporal development. We present a …

We present a new system for exploring, in an intuitive and interactive way, a large
compendium of data about collaborations between jazz musicians. The system consists of …

Visualizing a graph directly via its adjacency matrix is a common and effective technique.
Such matrix visualizations rely crucially on a good ordering of the vertices to highlight …

Temporal (Dynamic) multivariate networks consist of objects and relationships with a variety
of attributes, and the networks change over time. Exploring such kind of networks in …