力向图解缠的基于草图的交互

V. Guchev, Cristina Gena
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引用次数: 1

摘要

适度密集网络的探索被用于视觉数据分析的各种挑战。通常,解决方案是基于自动强制布局的图形绘制,这导致了一个自发的和不可复制的节点链接图。目前可用的改进其可读性的方法通常是面向有限渲染,而不向分析人员提供方便的布局后操作工具。通过多步骤菜单启用对可视化的间接手动控制可能看起来难以学习和使用。因此,这个问题需要一种更直观的解决方法。本文提出了一个原始的工具集,用于用户引导的力导向图形布局的细化,偏向于以笔为中心的素描技术。
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Sketch-Based Interactions for Untangling of Force-Directed Graphs
The exploration of moderately dense networks is used in various challenges of visual data analysis. Frequently, the solutions lay in graph drawing, based on automatic forcedirected layout, which results in a spontaneous and irreproducible node-link diagram. Currently available approaches to improve its readability are generally oriented to finite rendering without providing to the analyst handy tools for post-layout manipulations. Enabling indirect manual control on visualizations through multi-step menus may appear difficult to learn and use. Thus, this problem requires a more intuitive way of solving. This paper presents an original toolset for userguided refinement of the force-directed graph layout, with a bias on pen-centric sketching techniques.
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