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Deterministic Local Layouts through High-Dimensional Layout Stitching

机译:通过高维布局缝线确定局部布局

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In this paper we present a layout technique for dynamic views of large static graphs. It aims to minimize changes between two consecutive frames and most importantly, it is deterministic. First, a set of small layout patches is pre-computed. Then, depending on the users view focus, a subset of these patches is selected and connected to generate the final layout. In contrast to the state-of-the-art approach that operates in the 2D screen space only, we perform this process in high-dimensional space before projecting the results into the 2D plane. This gives additional degrees of freedom and consequently a smoother transition process between two consecutive frames. Whenever the user visits an area of the graph for a second time, the layout will still look the same. This enables the user to recognize areas that have already been explored and thus preserve the mental map.
机译:在本文中,我们提出了一种布局技术,用于大静态图的动态视图。它旨在最大限度地减少两个连续帧之间的变化,最重要的是,它是确定性的。首先,预先计算一组小型布局补丁。然后,根据用户查看焦点,选择并连接这些修补程序的子集以生成最终布局。与仅在2D屏幕空间中运行的最先进方法相比,我们在将结果投射到2D平面之前,我们在高维空间中执行此过程。这为两个连续帧之间提供了额外的自由度,从而在两个连续的帧之间进行更平滑的转换过程。每当用户第二次访问图形的区域时,布局仍会相同。这使用户能够识别已经探索的区域,从而保留了心理图。

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