Abstract
The dynamic network analysis (DNA) interactive visualization tool is a graph-based visualization tool that gives space operations staff the ability to comprehend complex relationships at stake in many different kinds of problems. The added value of DNA is exposed through different use cases applied to spacecraft operations. Operations engineers have shown an enhanced level of awareness when being able to visualize the dynamics of their problems. Tables, text, and numbers represent the way we communicate, but graph layouts and images represent, more efficiently, the way we think and mind map problems. Also, graphs represents patterns that our eyes are made to detect easily. By enabling the sharing of these mind maps and their semantics, we show how spacecraft issues can be detected earlier and, thanks to better insight, how they are solved more efficiently.
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Notes
- 1.
A clique is a subset of nodes of the graph such that every two distinct nodes in the clique are adjacent, directly connected.
Abbreviations
- AI:
-
Artificial Intelligence
- DNA:
-
Dynamic Network Analysis
- ESA:
-
European Space Agency
- HK:
-
House Keeping
- JSON:
-
JavaScript Object Notation
- ML:
-
Machine Learning
- SVG:
-
Scalable Vector Graphics
- TM:
-
Telemetry
- UI:
-
User Interface
- UX:
-
User Experience
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Acknowledgements
DNA would not have been developed without the valuable feedback of many users who gave their time to share their issues and participate in the UX design experiments. The authors express particular gratitude to the following users, members of the European Space Operations Center: Gustavo Baldo Carvalho, Juan Rafael Garcia Blanco, Vadims Kairiss, Max Pignede, Luke Lucas, Mario Castro De Lera, Marco Zambianchi, Peter Collins, Ana Piris, Thomas Godard.
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Boumghar, R. et al. (2019). Enhanced Awareness in Space Operations Using Web-Based Interactive Multipurpose Dynamic Network Analysis. In: Pasquier, H., Cruzen, C., Schmidhuber, M., Lee, Y. (eds) Space Operations: Inspiring Humankind's Future. Springer, Cham. https://doi.org/10.1007/978-3-030-11536-4_31
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