J. Haider, B. Gastecker, M. Pohl, P. Seidler, N. Kodagoda, W. Wong:
"Sense-making Strategies in Explorative Intelligence Analysis of Network Evolutions";
Behaviour & Information Technology, An international journal on the human aspects of computing (2018).

Kurzfassung deutsch:
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.

Sense-making, temporal network evolution, criminal intelligence, evaluation

"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)

Elektronische Version der Publikation:

Zugeordnete Projekte:
Projektleitung Margit Pohl:
Visual Analytics als Grundlage der Analyse strafrechtlicher Tatbestände

Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.