论文标题
在时间和空间上：图形结构和时间编码的实验研究
On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings
论文作者
论文摘要
动态网络反映了图形结构发生的时间变化，用于在许多应用程序字段中对各种问题进行建模。我们研究了沿两个主要维度的动态图可视化的设计空间：网络结构和时间表示。已经进行了重大研究，以评估静态图的不同结构表示的好处和缺点，但是，很少有人将这种比较扩展到动态网络设置。我们进行了一项研究，在其中评估参与者的响应时间，准确性和偏好，以在典型的动态网络探索任务上的图表结构和时间表示的不同组合，并在有没有支持常见的相互作用方法的情况下进行。我们的结果表明，矩阵为低级实体的任务提供了更好的支持，基本互动需要更长的响应时间，同时提高准确性。带有自动动画的节点 - 链接被证明是总体上最快，最准确的组合，而播放控制的动画是最喜欢的时间编码。
Dynamic networks reflect temporal changes occurring to the graph's structure and are used to model a wide variety of problems in many application fields. We investigate the design space of dynamic graph visualization along two major dimensions: the network structural and temporal representation. Significant research has been conducted evaluating the benefits and drawbacks of different structural representations for static graphs, however, few extend this comparison to a dynamic network setting. We conduct a study where we assess the participants' response times, accuracy, and preferences for different combinations of the graph's structural and temporal representations on typical dynamic network exploration tasks, with and without support of common interaction methods. Our results suggest that matrices provide better support for tasks on lower-level entities and basic interactions require longer response times while increasing accuracy. Node-link with auto animation proved to be the quickest and most accurate combination overall, while animation with playback control the most preferred temporal encoding.
