Responsive Matrix Cells：一种用于探索和编辑多元图的焦点+上下文方法
Responsive Matrix Cells: A Focus+Context Approach for Exploring and Editing Multivariate Graphs
摘要：
矩阵可视化是一个有用的工具，可以提供图形结构的总体概述。对于多变量图，剩下的挑战是处理与节点和边相关联的属性。为了应对这一挑战，我们提出了响应矩阵单元作为一个焦点+上下文的方法嵌入到一个矩阵的额外的交互式视图。响应矩阵单元是局部可缩放的感兴趣区域，为多变量图提供辅助数据探索和编辑工具。它们的行为是响应式的，它们的视觉内容适应于单元格的位置、可用的显示空间和用户任务。响应矩阵单元使用户能够显示有关图形的详细信息，比较节点和边属性，并直接在矩阵中编辑数据值，而无需借助外部视图或工具。我们报告响应矩阵单元格的一般设计考虑，包括必要的视觉和交互式手段，以支持无缝的数据探索和编辑。响应矩阵细胞已实现在一个基于Web的原型的基础上，我们证明了我们的方法的实用性。我们描述了一个分析足球运动员图形的用例，并报告了来自初步用户反馈会话的见解。
英文摘要：
Matrix visualizations are a useful tool to provide a general overview of a graph's structure. For multivariate graphs, a remaining challenge is to cope with the attributes that are associated with nodes and edges. Addressing this challenge, we propose responsive matrix cells as a focus+context approach for embedding additional interactive views into a matrix. Responsive matrix cells are local zoomable regions of interest that provide auxiliary data exploration and editing facilities for multivariate graphs. They behave responsively by adapting their visual contents to the cell location, the available display space, and the user task. Responsive matrix cells enable users to reveal details about the graph, compare node and edge attributes, and edit data values directly in a matrix without resorting to external views or tools. We report the general design considerations for responsive matrix cells covering the visual and interactive means necessary to support a seamless data exploration and editing. Responsive matrix cells have been implemented in a web-based prototype based on which we demonstrate the utility of our approach. We describe a walk-through for the use case of analyzing a graph of soccer players and report on insights from a preliminary user feedback session.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
