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VAST 2020 Contest Challenge: GraphMatchMaker: Visual Analytics for Graph Comparison and Matching

Natkamon Tovanich 1, 2 Alexis Pister 2 Gaëlle Richer 2 Paola Valdivia 3 Christophe Prieur 3, 4 Jean-Daniel Fekete 2 Petra Isenberg 2 
2 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France, LISN - Laboratoire Interdisciplinaire des Sciences du Numérique, IaH - Interaction avec l'Humain
4 SID - Sociologie Information-Communication Design
I3, une unité mixte de recherche CNRS (UMR 9217) - Institut interdisciplinaire de l’innovation
Abstract : We report on the process and design of our visual analytics graph analysis challenge winning entry. Specifically, our team addressed the IEEE VAST 2020 Mini-Challenge 1 that asked participants to identify a group of people that accidentally caused an internet outage. To identify this group, we were given a network profile and a large multi-variate social network to search in. Our approach involved statistical and graphical analysis as well as the design of three custom visual analytics tools. The submitted solution and visualizations are available at
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Submitted on : Friday, July 9, 2021 - 7:45:00 PM
Last modification on : Tuesday, October 25, 2022 - 4:19:20 PM
Long-term archiving on: : Sunday, October 10, 2021 - 8:14:56 PM


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Natkamon Tovanich, Alexis Pister, Gaëlle Richer, Paola Valdivia, Christophe Prieur, et al.. VAST 2020 Contest Challenge: GraphMatchMaker: Visual Analytics for Graph Comparison and Matching. IEEE Computer Graphics and Applications, 2021, 42 (4), pp.89 - 102. ⟨10.1109/mcg.2021.3091955⟩. ⟨hal-03283200⟩



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