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Drawing Clustered Graphs in Three Dimensions

机译:三维绘制聚类图

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摘要

Clustered graph is a very useful model for drawing large and complex networks. This paper presents a new method for drawing clustered graphs in three dimensions. The method uses a divide and conquer approach. More specifically, it draws each cluster in a 2D plane to minimise occlusion and ease navigation. Then a 3D drawing of the whole graph is constructed by combining these 2D drawings. Our main contribution is to deveI6p three linear time weighted tree drawing algorithms in three dimensions for clustered graph layout. Further, we have implemented a series of six different layouts for clustered graphs by combining three 3D tree layouts and two 2D graph layouts. The experimental results with metabolic pathways show that our method can produce a nice drawing of a clustered graph which clearly shows visual separation of the clusters, as well as highlighting the relationships between the clusters.
机译:聚集图是绘制大型复杂网络的非常有用的模型。本文提出了一种在三个维度上绘制聚类图的新方法。该方法使用分而治之的方法。更具体地说,它在2D平面中绘制每个群集,以最大程度地减少遮挡并简化导航。然后,通过组合这些2D图来构建整个图形的3D图。我们的主要贡献是为聚类图布局开发了三个维度的三个线性时间加权树图绘制算法。此外,我们通过组合三个3D树布局和两个2D图形布局,为聚簇图实现了一系列六个不同的布局。代谢途径的实验结果表明,我们的方法可以生成清晰的聚类图,清楚地显示聚类的视觉分离,并突出聚类之间的关系。

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