TimeSets: temporal sensemaking in intelligence analysis

Article


Xu, K., Salisu, S., Nguyen, P., Walker, R., Wong, B., Wagstaff, A., Phillips, G. and Biggs, M. 2020. TimeSets: temporal sensemaking in intelligence analysis. IEEE Computer Graphics and Applications. 40 (3), pp. 83-93. https://doi.org/10.1109/MCG.2020.2981855
TypeArticle
TitleTimeSets: temporal sensemaking in intelligence analysis
AuthorsXu, K., Salisu, S., Nguyen, P., Walker, R., Wong, B., Wagstaff, A., Phillips, G. and Biggs, M.
Abstract

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 paper 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.

PublisherIEEE
JournalIEEE Computer Graphics and Applications
ISSN0272-1716
Electronic1558-1756
Publication dates
Online29 Apr 2020
Print01 May 2020
Publication process dates
Deposited22 May 2020
Accepted13 Mar 2020
Output statusPublished
Accepted author manuscript
Copyright Statement

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/MCG.2020.2981855
LanguageEnglish
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