通过可排序的节点链路布局改善了图形集群的视觉突出性
IEEE transactions on visualization and computer graphics
|September 11, 2024
概括
可排序的节点链路图显著改善了图表中的集群识别. 用户可以使用这些图表准确且快速识别集群,而不是以力导向布局,特别是在较不明显的集群中.
科学领域:
- 图形可视化的图形可视化
- 数据分析数据分析
- 信息可视化 信息可视化
背景情况:
- 图形模型关系,集群可视化有助于在各种领域的洞察力发现.
- 强力导向布局提高了集群可见性,但缺乏直观的节点排序.
- 矩阵布局提供了排序,但缺乏节点链接比喻.
研究的目的:
- 研究节点排序对可排序节点链接图中的集群视觉突出性的影响.
- 为了比较可排序的节点链接图的有效性与最先进的力定向图表布局算法.
主要方法:
- 众包受控实验 众包受控实验 众包受控实验
- 对射线图,弧形图和对称弧形图的评估.
- 与"Linlog"",Backbone"和"sfdp"的强力导向布局进行比较.
主要成果:
- 用户通过可排序的节点链接图来更准确,更快地计算集群.
- 这一优势在集群分离性和/或紧性较低的情况下更为明显.
- 可排序的节点链路图表超过了经过测试的强力定向算法.
结论:
- 节点链路图中的节点排序增强了集群可视化.
- 可排序的节点链路图为集群识别提供了一个更有效的替代力量定向布局.
- 这些发现对于需要清晰的图形集群表示的应用程序至关重要.
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