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 …

In this paper, we present the results of a human-computer interaction experiment that
compared the performance of the animation of dynamic graphs to the presentation of small …

Epidemiologists use individual‐based models to (a) simulate disease spread over dynamic
contact networks and (b) to investigate strategies to control the outbreak. These model …

Graph drawing algorithms have classically addressed the layout of static graphs. However,
the need to draw evolving or dynamic graphs has brought into question many of the …

The analysis of large dynamic networks poses a challenge in many fields, ranging from
large bot-nets to social networks. As dynamic networks exhibit different characteristics, eg …

A major challenge in data‐driven biomedical research lies in the collection and
representation of data provenance information to ensure that findings are reproducibile. In …

This paper presents our work in mapping the design space of techniques for temporal graph
visualisation. We identify two independent dimensions upon which the techniques can be …

Multivariate, tabular data is one of the most common data structures used in many different
domains. Over time, tables can undergo changes in both structure and content, which results …

Instrumentation to automatically log information–so called gameplay metrics–about the
player-game interaction has become an important tool for analyzing player behavior in …

Difference maps are one way to show changes between timeslices in a dynamic graph.
They highlight, using colour, the nodes and edges that were added, removed, or persisted …