Sense-making strategies in explorative intelligence analysis of network evolutions

Doppler Haider, Johanna, Gastecker, Bettina, Pohl, Margit, Seidler, Patrick, Kodagoda, Neesha and Wong, B. L. William ORCID logoORCID: (2019) Sense-making strategies in explorative intelligence analysis of network evolutions. Behaviour and Information Technology, 38 (2) . pp. 198-215. ISSN 0144-929X [Article] (doi:10.1080/0144929x.2018.1519036)

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Visualising how social networks evolve is important in intelligence analysis in order to detect and monitor issues, such as emerging crime patterns or rapidly growing groups of offenders. It remains an open research question how this type of information should be presented for visual exploration. To get a sense of how users work with different types of visualisations, we evaluate a matrix and a node-link diagram in a controlled thinking aloud study. We describe the sense-making strategies that users adopted during explorative and realistic tasks. Thereby, we focus on the user behaviour in switching between the two visualisations and propose a set of nine strategies. Based on a qualitative and quantitative content analysis we show which visualisation supports which strategy better. We find that the two visualisations clearly support intelligence tasks and that for some tasks the combined use is more advantageous than the use of an individual visualisation.

Item Type: Article
Keywords (uncontrolled): Human-Computer Interaction, Arts and Humanities (miscellaneous), General Social Sciences, Developmental and Educational Psychology
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 25198
Notes on copyright: © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Depositing User: Jisc Publications Router
Date Deposited: 24 Sep 2018 09:33
Last Modified: 29 Nov 2022 19:19

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