A survey on visual analytics of large graphs

PhD Qualifying Examination


Title: "A survey on visual analytics of large graphs"

by

Mr. Yong WANG


Abstract:

The analysis of graphs plays an important role in many applications and it 
has attracted much attention from researchers in both the graph mining and 
data visualization areas. Many automatic graph mining algorithms and 
interactive visualization techniques have been proposed to facilitate the 
exploration of graph data. However, as graphs become very large, 
graph mining or visualization alone is not sufficient for analyzing 
massive graphs effectively. Recently, there is a growing trend 
of integrating automatic graph mining algorithms with interactive 
visualization techniques, which shows clear advantages in the exploration 
of large graphs.

In this survey, we first  briefly review the application areas and graph 
mining algorithms. Then we present visualization techniques for handling 
large graphs such as node aggregation and edge bundling. After summarizing 
the challenges in both the graph mining and visualization areas, we 
discuss the benefits, general framework and several application scenarios 
of integrating graph mining algorithms with visualization techniques. We 
conclude the survey with a discussion of future research directions.


Date:			Friday, 16 October 2015

Time:                  	10:00am - 12:00noon

Venue:                  Room 4475
                         Lifts 25/26

Committee Members:	Prof. Huamin Qu (Supervisor)
 			Prof. Long Quan (Chairperson)
 			Dr. Qiong Luo
 			Dr. Ke Yi


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