Efficiently drawing a significant spanning tree of a directed graph

Martin Harrigan, P. Healy
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引用次数: 3

Abstract

A directed graph can model any ordered relationship between objects. However, visualizing such graphs can be a challenging task. If the graph is undirected, a popular strategy is to choose a significant spanning tree, nominate a vertex as the root, for example the vertex whose distance from all other vertices is minimal, hang the significant spanning subtrees from this root and add in the remaining edges in some unobtrusive manner. In the directed case the spanning tree is a tree DAG (a directed graph without any undirected cycles) and not simply a directed tree with one appropriate root. It may have multiple sources (vertices with indegree equal to zero) that all warrant root status and so the undirected approach must be modified somewhat. In this paper, we present a method of drawing directed graphs that emphasizes a significant spanning tree. It can be considered a variation of the Sugiyama framework in that it combines two steps of the framework (leveling and crossing minimisation) by finding, in linear time, a leveling of the graph that is level planar with respect to some spanning tree and restricting the permutations of the vertices on each level to those that constitute a level planar embedding of this subgraph. The edges of the spanning tree will therefore not cross each other. Using the globally oriented Fiedler vector we choose permutations of the vertices on each level that reduce the number of crossings between the remaining edges.
有效地绘制有向图的有效生成树
有向图可以对对象之间的任何有序关系进行建模。然而,可视化这样的图表可能是一项具有挑战性的任务。如果图是无向的,一种流行的策略是选择一棵有效生成树,指定一个顶点作为根,例如,与所有其他顶点的距离最小的顶点,从这个根上挂起有效生成子树,并以某种不显眼的方式添加剩余的边。在有向情况下,生成树是树DAG(没有任何无向循环的有向图),而不仅仅是具有一个适当根的有向树。它可能有多个源(度为零的顶点),它们都保证根状态,因此必须对无向方法进行一些修改。在本文中,我们提出了一种绘制有向图的方法,强调了一个重要的生成树。它可以被认为是Sugiyama框架的一种变体,因为它结合了框架的两个步骤(找平和交叉最小化),通过在线性时间内找到相对于某些生成树的水平平面图的找平,并将每个水平上的顶点排列限制为构成该子图的水平平面嵌入的顶点排列。因此生成树的边不会相互交叉。使用全局导向的费德勒向量,我们选择每个层次上的顶点的排列,以减少剩余边之间的交叉次数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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