In this paper, we propose the t-FDP model, a force-directed placement method based on a novel bounded short-range force (t-force) defined by Student's t-distribution. Our formulation is flexible, exerts limited repulsive forces for nearby nodes and can be adapted separately in its short- and long-range effects. Using such forces in force-directed graph layouts yields better neighborhood preservation than current methods, while maintaining low stress errors. Our efficient implementation using a Fast Fourier Transform is one order of magnitude faster than state-of-the-art methods and two orders faster on the GPU, enabling us to perform parameter tuning by globally and locally adjusting the t-force in real-time for complex graphs. We demonstrate the quality of our approach by numerical evaluation against state-of-the-art approaches and extensions for interactive exploration.
翻译:在本文中,我们提出了t-FDP模式,这是一种基于学生T分布所定义的新型短距离短距离力量(t-fDP)的武力定位方法。我们的配方是灵活的,对附近的节点施加有限的令人厌恶的力量,可以对其短距离和长距离效应分别进行调整。在使用这种力量时,以武力为方向的图形布局比目前的方法更能保护社区,同时保持低压力错误。我们使用快速的Fourier变换的高效实施比最先进的方法快一个数量级,GPU的两道排列速度更快,使我们能够进行参数调整,由全球和当地进行,实时调整,以适应复杂的图表。我们通过对最新方法进行数字评估和延长互动探索,来显示我们的方法的质量。</s>