In temporal (or event-based) networks, time is a continuous axis, with real-valued time
coordinates for each node and edge. Computing a layout for such graphs means …

Identifying, tracking and understanding changes in dynamic networks are complex and
cognitively demanding tasks. We present GraphDiaries, a visual interface designed to …

Temporal (or time-evolving) networks are commonly used to model complex systems and
the evolution of their components throughout time. Although these networks can be …

We present GraphDiaries, an interface for temporal navigation in networks changing their
topology over time. Navigation along time is necessary for the exploration of states of the …

Timelines are as important for presenting temporal data as node-link diagrams are relevant
for displaying graphs and relations in general. Yet, both are rarely combined. We present …

Dynamic graph drawing algorithms take as input a series of timeslices that standard, force-
directed algorithms can exploit to compute a layout. However, often dynamic graphs are …

Dynamic networks can be challenging to analyze visually, especially if they span a large
time range during which new nodes and edges can appear and disappear. Although it is …

Networks are models that help us understanding and thinking about relationships between
entities in the real world. Many of these networks are dynamic, ie connectivity changes over …

The timeslice is the predominant method for drawing and visualizing dynamic graphs.
However, when nodes and edges have real coordinates along the time axis, it becomes …

Temporal networks have been used to map the structural evolution of social, technological,
and biological systems, among others. Due to the large amount of information on real-world …