Evaluation of graph layout methods based on visual perception

Jiafan Li, Yuhua Liu, Changbo Wang
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引用次数: 7

Abstract

Node-link diagrams provide an intuitive way to explore networks and have inspired a large number of automated graph layout strategies that optimize aesthetic criteria. However, any particular drawing approach cannot fully satisfy all these criteria simultaneously. So the evaluation methods are designed to explore the advantages and disadvantages of different graph layout methods from these standards. Starting from the point of visual perception, this paper analyzes the node's visual importance based on a user experiment and designs a model to measure the node's visual importance. Then evaluate the pros and cons of graph layout methods by comparing the topological importance and visual importance of nodes. A heatmap-based visualization is used to provide visual feedback for the difference between the topological importance and visual importance of nodes. Meantime, a metric is built to quantify the difference precisely. Finally, experiments are done under different scale of data sets to further analyze the characteristics of these graph layout methods.
基于视觉感知的图形布局方法评价
节点链接图提供了一种直观的方式来探索网络,并激发了大量优化美学标准的自动化图形布局策略。然而,任何特定的绘图方法都不可能同时完全满足所有这些标准。因此设计了评价方法,从这些标准出发,探讨不同图形布局方法的优缺点。本文从视觉感知的角度出发,基于用户实验对节点的视觉重要性进行了分析,并设计了节点视觉重要性度量模型。然后通过比较节点的拓扑重要性和视觉重要性来评价图布局方法的优缺点。采用基于热图的可视化方法,对节点的拓扑重要性和视觉重要性之间的差异提供视觉反馈。同时,建立了一个度量来精确地量化差异。最后,在不同规模的数据集下进行了实验,进一步分析了这些图布局方法的特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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