TimeSets: Temporal Sensemaking in Intelligence Analysis
Kai Xu, Saminu Salisu, Phong Hai Nguyen, Rick Walker, B. L. William Wong, Adrian Wagstaff, Graham Phillips, Mike Biggs · IEEE Computer Graphics and Applications · 2020
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.