Latest News and Events

The SAMSI-FODAVA Workshop on Interactive Visualization and Analysis of Massive Data will be held on December 10-12, 2012.
Posted: October 02, 2012
The FODAVA Annual Meeting will immediately follow (Dec 12-13) the SAMSI/FODAVA joint workshop at the same location.
Posted: September 05, 2012
Many of the modern data sets such as text and image data can be represented in high-dimensional vector spaces and have benefited from computational methods that utilize advanced techniques from num
Posted: June 30, 2012

Uncertainty-Aware Visualization of Networks

Kwan-Liu Ma

I will discuss the need of taking uncertainty into account in visual analytics, and present a methodology for incorporating uncertainty. I will show, in the case of visualizing and interacting with complex networks, two aspects of uncertainty, namely the stability and sensitivity of centrality metrics, are appropriate to represent the relative importance of a node with respect to other nodes. These properties allows an analyst to visualize at a glance competitive or cooperative clusters, where small changes in parts of the clusters have a negative or positive influence on other clusters. In addition, this methodology provides more robust graph simplification, such that the analyst can obtain a simpler representation of a complex graph that preserves the centrality of its nodes.