可视化大量多向图

J. Abello, Jeffrey L. Korn
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引用次数: 24

摘要

介绍了一种面向大规模多向图导航的可视化与勘探集成系统MGV。MGV的唯一假设是底层有向图的顶点集对应于预定树t的叶子集。MGV构建了一个核外的图层次结构,并提供了为每个图层次结构切片插入任意视觉表示的机制。从层次结构的一个级别导航到另一个级别对应于向下钻取接口的实现。为了向用户提供导航控制和交互式响应,MGV集成了许多可视化技术,如面向像素的交互式2D和3D地图、统计显示、多链接视图和基于缩放标签的界面。这使得地理信息和图形数据的关联非常自然。MGV遵循客户机-服务器范式,它是用C和Java-3D实现的。我们重点介绍了这些工具背后的主要算法和可视化技术,并指出了几种可能的应用场景。我们的技术被应用于在顶点集上定义的多图,其大小从1亿到2.5亿个顶点不等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualizing massive multi-digraphs
We describe MGV, an integrated visualization and exploration system for massive multi-digraph navigation. MGV's only assumption is that the vertex set of the underlying digraph corresponds to the set of leaves of a predetermined tree T. MGV builds an out-of-core graph hierarchy and provides mechanisms to plug in arbitrary visual representations for each graph hierarchy slice. Navigation from one level to another of the hierarchy corresponds to the implementation of a drill-down interface. In order to provide the user with navigation control and interactive response, MGV incorporates a number of visualization techniques like interactive pixel-oriented 2D and 3D maps, statistical displays, multi-linked views, and a zoomable label based interface. This makes the association of geographic information and graph data very natural. MGV follows the client-server paradigm and it is implemented in C and Java-3D. We highlight the main algorithmic and visualization techniques behind the tools and point out along the way several possible application scenarios. Our techniques are being applied to multi-graphs defined on vertex sets with sizes ranging from 100 million to 250 million vertices.
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