Topological Approaches for Three Dimensional Graph Drawing

三维图形绘制的拓扑方法

• 批准号: DP0560045
• 负责人: Prof Peter Eades
• 金额: $ 11.09万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2005
• 资助国家: 澳大利亚
• 起止时间: 2005-06-28 至 2008-04-15
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0560045
• 关键词: Topological; Approaches; Three; Dimensional; Graph

Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed by academics. We hypothesise that current 3D relational visualization methods fail because they do not pay attention to the human perception of topology. In this project we will leverage mathematical topology to construct new methods for the 3D visualization of relational data.

人类对生物技术、网络工程、社交网络和计算机网络中大量关系数据的分析需要可视化。近年来，三维可视化有望为此类抽象数据提供新的洞察力。然而，过去十年的可视化研究对该行业的影响很小；可视化软件提供商没有采用学者开发的可视化方法。我们假设，目前的3D关系可视化方法之所以失败，是因为它们没有注意到人类对拓扑的感知。在这个项目中，我们将利用数学拓扑学来构建关系数据的3D可视化的新方法。