NicheWorks - Interactive visualization of very large graphs

被引:54
|
作者
Wills, GJ [1 ]
机构
[1] AT&T Bell Labs, Software Prod Res Dept, Data Visualizat Grp, Tech Staff, Naperville, IL 60566 USA
关键词
dynamic graphics; exploratory data analysis; graph layout; networks;
D O I
10.2307/1390633
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The difference between displaying networks with 100-1,000 nodes and displaying ones with 10,000-100,000 nodes is not merely quantitative, it is qualitative. Layout algorithms suitable for the former are too slow for the latter, requiring new algorithms or modified (often relaxed) versions of existing algorithms to be invented. The density of nodes and edges displayed per inch of screen real estate requires special visual techniques to filter the graphs and focus attention. Compounding the problem is that large real-life networks are often weighted graphs and usually have additional data associated with the nodes and edges. A system for investigating and exploring such large, complex datasets needs to be able to display both graph structure and node and edge attributes so that patterns and information hidden in the data can be seen. In this article we describe a tool that addresses these needs, the NicheWorks tool. We describe and comment on the available layout algorithms and the linked views interaction system, and detail two examples of the use of NicheWorks for analyzing Web sites and detecting international telephone fraud.
引用
收藏
页码:190 / 212
页数:23
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