TimeSets is a temporal data visualization technique designed to reveal insights into event sets, such as all the events linked to one person or organization. In this article, we describe two TimeSets-based visual analytics tools for intelligence analysis. In the first case, TimeSets is integrated with other visual analytics tools to support open-source intelligence analysis with Twitter data, particularly the challenge of finding the right questions to ask. The second case uses TimeSets in a participatory design process with analysts that aims to meet their requirements of uncertainty analysis involving fake news. Lessons learned are potentially beneficial to other application domains.

中文翻译：

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TimeSets：智能分析中的时间感知

TimeSets 是一种时间数据可视化技术，旨在揭示事件集的洞察力，例如与一个人或组织相关联的所有事件。在本文中，我们描述了两种基于 TimeSets 的可视化分析工具，用于情报分析。在第一种情况下，TimeSets 与其他可视化分析工具集成，以支持使用 Twitter 数据进行开源情报分析，尤其是找到要提出的正确问题的挑战。第二个案例在与分析师的参与式设计过程中使用 TimeSets，旨在满足他们对涉及假新闻的不确定性分析的要求。经验教训可能对其他应用领域有益。