TimeSets
TimeSets visualizes temporal event data to reveal patterns and relationships among time-stamped events for intelligence analysis, open-source intelligence (e.g., Twitter) investigations, and temporal uncertainty assessment such as fake news analysis.
Key Features:
- Temporal Visualization: Visualizes time-based events to reveal patterns, trends, anomalies, and temporal relationships among events.
- Integration with Other Visual Analytics Tools: Designed to work in conjunction with other visual analytics tools to combine temporal views with complementary analyses.
- Open-Source Intelligence (OSINT) Support: Has been applied with Twitter data analysis to assist in formulating questions and extracting insights from social media.
- Uncertainty and Misinformation Analysis: Supports temporal uncertainty analysis and assessment of fake news by visualizing the context and evolution of information over time.
Scientific Applications:
- Open-Source Intelligence Analysis: Used with Twitter data to navigate social media and support question formulation during intelligence gathering.
- Uncertainty and Fake News Analysis: Employed in participatory studies with intelligence analysts to analyze uncertainty and assess credibility of information over time.
- Temporal Data Analysis in Bioinformatics and Other Domains: Lessons from TimeSets apply to bioinformatics and other fields requiring visualization of temporal event relationships.
Methodology:
Development used participatory design incorporating feedback from intelligence analysts.
Topics
Details
- Added:
- 1/18/2021
- Last Updated:
- 2/27/2021
Operations
Publications
Xu K, Salisu S, Nguyen PH, Walker R, Wong BLW, Wagstaff A, Phillips G, Biggs M. TimeSets: Temporal Sensemaking in Intelligence Analysis. IEEE Computer Graphics and Applications. 2020;40(3):83-93. doi:10.1109/mcg.2020.2981855. PMID:32356730.
PMID: 32356730