How analysts think: sense-making strategies in the analysis of temporal evolution and criminal network structures and activities

Article


Haider, J., Seidler, P., Pohl, M., Kodagoda, N., Adderley, R. and Wong, B. 2017. How analysts think: sense-making strategies in the analysis of temporal evolution and criminal network structures and activities. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 61 (1), pp. 193-197. https://doi.org/10.1177/1541931213601532
TypeArticle
TitleHow analysts think: sense-making strategies in the analysis of temporal evolution and criminal network structures and activities
AuthorsHaider, J., Seidler, P., Pohl, M., Kodagoda, N., Adderley, R. and Wong, B.
Abstract

Analysis of criminal activity based on offenders’ social networks is an established procedure in intelligence analysis. The complexity of the data poses an obstacle for analysts to gauge network developments, e.g. detect emerging problems. Visualization is a powerful tool to achieve this, but it is essential to know how the analysts’ sense-making strategies can be supported most efficiently. Based on a think aloud study we identified ten cognitive strategies on a general level to be useful for designers. We also provide some examples how these strategies can be supported through appropriate visualizations.

PublisherSAGE Publications
JournalProceedings of the Human Factors and Ergonomics Society Annual Meeting
ISSN2169-5067
Electronic1071-1813
Publication dates
Print30 Sep 2017
Online28 Sep 2017
Publication process dates
Deposited03 Oct 2017
Accepted01 Sep 2017
Output statusPublished
Accepted author manuscript
Copyright Statement

Johanna Doppler Haider, Patrick Seidler, Margit Pohl, Neesha Kodagoda, Rick Adderley, B. L. William Wong, How Analysts Think: Sense-making Strategies in the Analysis of Temporal Evolution and Criminal Network Structures and Activities, Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol 61, Issue 1, pp. 193 - 197). Copyright © 2017 by Human Factors and Ergonomics Society. Reprinted by permission of SAGE Publications

Digital Object Identifier (DOI)https://doi.org/10.1177/1541931213601532
LanguageEnglish
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