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.