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
Type | Article |
---|---|
Title | TimeSets: temporal sensemaking in intelligence analysis |
Authors | Xu, 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. |
Publisher | IEEE |
Journal | IEEE Computer Graphics and Applications |
ISSN | 0272-1716 |
Electronic | 1558-1756 |
Publication dates | |
Online | 29 Apr 2020 |
01 May 2020 | |
Publication process dates | |
Deposited | 22 May 2020 |
Accepted | 13 Mar 2020 |
Output status | Published |
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 |
Language | English |
https://repository.mdx.ac.uk/item/88z15
Download files
29
total views14
total downloads0
views this month0
downloads this month