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On Spectral Graph Drawing

机译:在光谱图绘图上

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The spectral approach for graph visualization computes the layout of a graph using certain eigenvectors of related matrices. Some important advantages of this approach are an ability to compute optimal layouts (according to specific requirements) and a very rapid computation time. In this paper we explore spectral visualization techniques and study their properties. We present a novel view of the spectral approach, which provides a direct link between eigenvectors and the aesthetic properties of the layout. In addition, we present a new formulation of the spectral drawing method with some aesthetic advantages. This formulation is accompanied by an aesthetically-motivated algorithm, which is much easier to understand and to implement than the standard numerical algorithms for computing eigenvectors.
机译:图表可视化的光谱方法使用相关矩阵的某些特征向量计算图形的布局。这种方法的一些重要优点是计算最佳布局(根据特定要求)和非常快速的计算时间。在本文中,我们探索光谱可视化技术并研究其性质。我们提出了一种光谱方法的新颖视图,它提供了特征向量和布局的美学特性之间的直接联系。此外,我们提出了一种具有一些审美优势的光谱绘制方法的新配方。该配方伴随着美学动力的算法,这比计算特征向量的标准数值算法更容易理解和实现。

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