Adding temporal information to social network visualizations is still a challenging task despite previous research efforts. Visualizing call logs on an event-based level can show various attributes of a connection. The dimension time is of great interest to analysts as it offers insights into trends and patterns such as changing relationships between different actors or economic opportunities for businesses. Yet current approaches suffer from limitations that can be improved with the visualization design presented in this work. Our presented visualization was developed considering aesthetic criteria and characteristics of adjacency matrices and node-link diagrams. A heuristic evaluation according to these criteria was conducted. In a formative evaluation process, an artificial dataset was specifically created to examine dynamic social networks. A qualitative user study with observation and think-aloud protocols was conducted and analyzed with regard to the user’s strategies, limitations of the visualization and potential additional features. The visualization appears to be suitable for all of the evaluated network tasks; however, path-related tasks were more challenging than other tasks.

中文翻译：

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谁与谁交谈：通话记录可视化评估

尽管之前的研究努力，将时间信息添加到社交网络可视化仍然是一项具有挑战性的任务。在基于事件的级别上可视化呼叫日志可以显示连接的各种属性。分析人员对维度时间非常感兴趣，因为它提供了对趋势和模式的洞察，例如不同参与者之间不断变化的关系或企业的经济机会。然而，当前的方法受到限制，可以通过这项工作中提出的可视化设计进行改进。我们提出的可视化是考虑到美学标准和邻接矩阵和节点链接图的特征而开发的。进行了根据这些标准的启发式评估。在形成性评估过程中，专门创建了一个人工数据集来检查动态社交网络。对用户的策略、可视化的局限性和潜在的附加功能进行了一项带有观察和大声思考协议的定性用户研究和分析。可视化似乎适用于所有评估的网络任务；然而，与路径相关的任务比其他任务更具挑战性。