Dynamic graph visualization focuses on the challenge of representing the evolution of
relationships between entities in readable, scalable and effective diagrams. This work …

Dynamic graph visualization focuses on the challenge of representing the evolution of
relationships between entities in readable, scalable, and effective diagrams. This work …

We present the generalized space‐time cube, a descriptive model for visualizations of
temporal data. Visualizations are described as operations on the cube, which transform the …

We review a range of temporal data visualization techniques through a new lens, by
describing them as series of op-erations performed on a conceptual space-time cube. These …

This paper surveys visualization and interaction techniques for geospatial networks from a
total of 95 papers. Geospatial networks are graphs where nodes and links can be …

Networks are abstract and ubiquitous data structures, defined as a set of data points and
relationships between them. Network visualization provides meaningful representations of …

We present results from an experiment aimed at using logs of interactions with a visual
analytics application to better understand how interactions lead to insight generation. We …

We present a novel visual exploration method based on small multiples and large singles for
effective and efficient data analysis. Users are enabled to explore the state space by offering …

We introduce MultiPiles, a visualization to explore time‐series of dense, weighted networks.
MultiPiles is based on the physical analogy of piling adjacency matrices, each one …

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 …