Visual analytics (VA) is typically applied in scenarios where complex data has to be
analyzed. Unfortunately, there is a natural correlation between the complexity of the data …

A variety of human movement datasets are represented in an Origin-Destination (OD) form,
such as taxi trips, mobile phone locations, etc. As a commonly-used method to visualize OD …

A graph is an abstract model that represents relations among entities, for example, the
interactions between characters in a novel. A background story endows entities and …

Parallel Aggregated Ordered Hypergraph (PAOH) is a novel technique to visualize dynamic
hypergraphs. Hypergraphs are a generalization of graphs where edges can connect several …

Node-link diagrams are widely used to facilitate network explorations. However, when using
a graph drawing technique to visualize networks, users often need to tune different algorithm …

Numerous sampling strategies have been proposed to simplify large-scale networks for
highly readable visualizations. It is of great challenge to preserve contextual structures …

Deriving the exact casual model that governs the relations between variables in a
multidimensional dataset is difficult in practice. It is because causal inference algorithms by …

Visual analytics has been widely studied in the past decade. One key to make visual
analytics practical for both research and industrial applications is the appropriate definition …

We present a novel uncertain network visualization technique based on node-link diagrams.
Nodes expand spatially in our probabilistic graph layout, depending on the underlying …

This paper provides a brief overview of uncertainty visualization along with some
fundamental considerations on uncertainty propagation and modeling. Starting from the …