快速探索随机树的边缘捆绑

Michael Burch, H. Schmauder, D. Weiskopf
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引用次数: 5

摘要

我们介绍了一种在顶点的层次组织不可用的图中捆绑边的技术。我们采用快速探索随机树(RRTs)的概念,而不是使用时间复杂的力导向边缘捆绑。我们使用RRTs来快速计算与图布局的空间结构无关的分层空间组织。由于这种独立性,边缘捆绑可以应用于任何图形布局,甚至允许我们定义没有捆绑可能导致的空间障碍。此外,当动态添加或删除图节点和边时,捆绑结构保持稳定,这对于力定向捆绑来说是无法保证的。RRT捆绑的主要优点是效率高,支持交互式探索。我们依靠低运行时复杂度来实现一种新的交互技术,用于减少节点链接图中的视觉杂波,我们称之为RRT边缘捆绑透镜。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Edge Bundling by Rapidly-Exploring Random Trees
We introduce a technique for bundling edges in graphs where a hierarchical organization of the vertices is not available. Instead of applying time-complex force-directed edge bundling, we adopt the concept of Rapidly-Exploring Random Trees (RRTs). We use RRTs for fast computation of a hierarchical space organization that is independent of the spatial structure of the graph layout. Due to this independency, edge bundling can be applied to any graph layout and even allows us to define spatial obstacles through which no bundles may lead. Furthermore, when adding or removing graph nodes and edges on-the-fly, the bundling structure remains stable, which cannot be guaranteed for force-directed bundling. The main benefit of RRT bundling is its high efficiency, supporting interactive exploration. We rely on the low runtime complexity for a new interaction technique for visual clutter reduction in node-link diagrams that we refer to as the RRT edge bundling lens.
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