Multilevel agglomerative edge bundling for visualizing large graphs

E. Gansner, Yifan Hu, S. North, C. Scheidegger
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引用次数: 181

Abstract

Graphs are often used to encapsulate relationships between objects. Node-link diagrams, commonly used to visualize graphs, suffer from visual clutter on large graphs. Edge bundling is an effective technique for alleviating clutter and revealing high-level edge patterns. Previous methods for general graph layouts either require a control mesh to guide the bundling process, which can introduce high variation in curvature along the bundles, or all-to-all force and compatibility calculations, which is not scalable. We propose a multilevel agglomerative edge bundling method based on a principled approach of minimizing ink needed to represent edges, with additional constraints on the curvature of the resulting splines. The proposed method is much faster than previous ones, able to bundle hundreds of thousands of edges in seconds, and one million edges in a few minutes.
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用于可视化大型图形的多级聚集边缘捆绑
图通常用于封装对象之间的关系。节点链接图通常用于可视化图形,但在大型图形中会出现视觉混乱。边缘捆绑是一种有效的技术,可以减轻混乱,揭示高级边缘模式。以前用于一般图形布局的方法要么需要一个控制网格来指导捆绑过程,这可能会导致捆绑过程中曲率的高度变化,要么需要全对全的力和兼容性计算,这是不可扩展的。我们提出了一种基于最小化表示边缘所需墨水的原则方法的多级凝聚边缘捆绑方法,并对所产生的样条的曲率进行了额外的约束。该方法比以前的方法快得多,可以在几秒钟内捆绑数十万条边,并在几分钟内捆绑100万条边。
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