Graphs are widely used to conceptually represent objects and their relations in several applications. Time-evolving graphs, usually referred to as temporal or dynamic graphs, have been used to encode how objects and their relations change over time. In this paper, we introduce a new image-based representation, named Graph Visual Rhythm (GVR), proposed to encode visually temporal network changes. GVR provides a compact and context-enriched representation for general-purpose analyses. Our solution is generic, as it supports different graph-to-image mapping instantiations, possibly opening the opportunity of its use in different applications. In this paper, we use different instantiations of graph visual rhythms in two case studies: first, in soccer match analysis, aiming to support the identification of complex tactical patterns, modeled as temporal graphs; second, in social network analysis, to support the identification of patterns related to message exchanges over time.

图在多种应用中广泛用于概念上表示对象及其关系。时间演化图（通常称为时间图或动态图）已用于编码对象及其关系如何随时间变化。在本文中，我们介绍了一种新的基于图像的表示形式，名为Graph Visual Rhythm（GVR），建议对视觉时间网络变化进行编码。GVR为通用分析提供了一种紧凑且上下文丰富的表示形式。我们的解决方案是通用的，因为它支持不同的图形到图像映射实例，这可能会为在不同应用程序中使用它提供机会。在本文中，我们在两个案例研究中使用图形视觉节奏的不同实例：首先，在足球比赛分析中，旨在支持识别复杂的战术模式，并以时间图为模型；第二，在社交网络分析中，支持识别与消息交换有关的模式。