DocumentCode :
77796
Title :
Large-Scale Graph Visualization and Analytics
Author :
Kwan-Liu Ma ; Muelder, Chris W.
Author_Institution :
Univ. of California, Davis, Davis, CA, USA
Volume :
46
Issue :
7
fYear :
2013
fDate :
Jul-13
Firstpage :
39
Lastpage :
46
Abstract :
Novel approaches to network visualization and analytics use sophisticated metrics that enable rich interactive network views and node grouping and filtering. A survey of graph layout and simplification methods reveals considerable progress in these new directions. The first Web extra at http://youtu.be/ee8nr9LDHXw is a video segment showing dynamic graph layout results for visualizing evolving Internet connectivity. The global approach meets layout criteria--balanced quality and stability with nodes largely remaining stable, but clusters are compacted. The images are freeze frames of three time steps. The second Web extra at http://youtu.be/oWolTjZMGfo is a video segment showing dynamic graph layout results for visualizing evolving Internet connectivity. The incremental approach uses space efficiently. Motion is slow, smooth, and affine, and so is easy to follow, but quality degrades over time to ensure stable animation.
Keywords :
Internet; computer animation; data analysis; data visualisation; Internet connectivity visualization; animation; balanced quality; balanced stability; global approach; graph layout; incremental approach; interactive network views; large-scale graph analytics; large-scale graph visualization; layout criteria; network analytics; network visualization; node filtering; node grouping; simplification methods; Data handling; Data visualization; Database systems; Dynamic networks; Social network services; Visual analytics; big data; dynamic networks; graph visualization; network analytics; social networks;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/MC.2013.242
Filename :
6576786
Link To Document :
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