A Survey of Visual Analysis of Graphs

PhD Qualifying Examination


Title: "A Survey of Visual Analysis of Graphs"

by

Miss Panpan Xu


Abstract:

Graph data can be found in various domains including biology, computer science, 
finance, mathematics, and social science. Visual analysis of graph provides the 
users with intuitive views and rich interactions to facilitate data exploration 
and knowledge discovery. Many visual representations of graphs and interactive 
visual analysis systems have been developed in the past decades. The increasing 
scale and complexity of graph data pose new challenges on the design of 
effective visual analysis systems. Many issues need to be addressed when we are 
dealing with graphs with multivariate attributes, graphs with dynamic 
topologies or multiple relations, and graphs of very large size.

In this survey, we first review the commonly used visual representations of 
graphs and discuss their respective advantages and drawbacks. Then we review 
many recent visual analysis techniques for multivariate and dynamic graph data. 
After that we present the application of filtering and aggregation techniques 
to the visual analysis of large graphs. The survey concludes with some future 
research directions.


Date:                   Monday, 3 October 2011

Time:                   3:00pm - 5:00pm

Venue:                  Room 3501
                         lifts 25/26

Committee Members:	Dr. Huamin Qu (Supervisor)
                         Prof. Long Quan (Chairperson)
 			Dr. Chiew-Lan Tai
 			Dr. Ke Yi


**** ALL are Welcome ****