Information Visualisation strategies can be applied in a variety of domains. In the context of temporal networks, i.e., networks in which interactions between individuals occur throughout time, efforts have been conducted to develop visual approaches that allow finding interaction patterns, anomalies, and other behaviours not previously perceived in the data. This paper presents two case studies involving real-world education networks from a primary school and a high school. For this purpose, we used the Massive Sequence View (MSV) layout with the Community-based Node Ordering (CNO) method, two well established approaches for visual analysis of temporal networks. Our results show that the identified patterns involving students/students and students/ teachers represent important information to benefit and support decision making about school management and teaching strategies, especially those related to strategic group formation.

中文翻译：

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在学校环境中接触模式的可视化分析

信息可视化策略可以应用于各种领域。在时间网络的背景下，即在整个时间中个体之间进行交互的网络中，已经进行了努力以开发视觉方法，该视觉方法允许发现交互模式，异常以及之前未在数据中感知到的其他行为。本文提出了两个案例研究，涉及来自小学和高中的真实世界的教育网络。为此，我们将大规模序列视图（MSV）布局与基于社区的节点排序（CNO）方法结合使用，这是两种用于时间网络可视化分析的完善方法。