Lee Alexandra, Archambault Daniel, Nacenta Miguel A
IEEE Trans Vis Comput Graph. 2021 Feb;27(2):528-538. doi: 10.1109/TVCG.2020.3030446. Epub 2021 Jan 28.
Dynamic networks can be challenging to analyze visually, especially if they span a large time range during which new nodes and edges can appear and disappear. Although it is straightforward to provide interfaces for visualization that represent multiple states of the network (i.e., multiple timeslices) either simultaneously (e.g., through small multiples) or interactively (e.g., through interactive animation), these interfaces might not support tasks in which disjoint timeslices need to be compared. Since these tasks are key for understanding the dynamic aspects of the network, understanding which interactive visualizations best support these tasks is important. We present the results of a series of laboratory experiments comparing two traditional approaches (small multiples and interactive animation), with a more recent approach based on interactive timeslicing. The tasks were performed on a large display through a touch interface. Participants completed 24 trials of three tasks with all techniques. The results show that interactive timeslicing brings benefit when comparing distant points in time, but less benefits when analyzing contiguous intervals of time.
动态网络的可视化分析可能具有挑战性,尤其是当它们跨越很长的时间范围,在此期间新的节点和边可能会出现和消失时。虽然提供用于可视化的接口很简单,这些接口可以同时(例如,通过小多重图)或交互式地(例如,通过交互式动画)表示网络的多个状态(即,多个时间片),但这些接口可能不支持需要比较不相交时间片的任务。由于这些任务是理解网络动态方面的关键,因此了解哪种交互式可视化最能支持这些任务非常重要。我们展示了一系列实验室实验的结果,这些实验将两种传统方法(小多重图和交互式动画)与一种基于交互式时间切片的更新方法进行了比较。这些任务是通过触摸界面在大型显示器上执行的。参与者使用所有技术完成了三项任务的24次试验。结果表明,在比较时间上相距较远的点时,交互式时间切片会带来好处,但在分析连续的时间间隔时,好处较少。