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

Natkamon Tovanich; Alexis Pister; Gaelle Richer; Paola Valdivia; Christophe Prieur; Jean Daniel Fekete; Petra Isenberg

doi:10.1109/MCG.2021.3091955

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

Natkamon Tovanich
, Alexis Pister
, Gaelle Richer
, Paola Valdivia
, Christophe Prieur
, Jean Daniel Fekete
, Petra Isenberg

INRIA Saclay, Laboratoire de Recherche en Informatique (LRI), Université Paris Sud
Institut Polytechnique de Paris

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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 multivariate 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 https://graphletmatchmaker.github.io/.

Original language	English
Pages (from-to)	89-102
Number of pages	14
Journal	IEEE Computer Graphics and Applications
Volume	42
Issue number	4
DOIs	https://doi.org/10.1109/MCG.2021.3091955
Publication status	Published - 1 Jan 2022
Externally published	Yes

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10.1109/MCG.2021.3091955

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title = "VAST 2020 Contest Challenge: GraphMatchMaker - Visual Analytics for Graph Comparison and Matching",

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 multivariate 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 https://graphletmatchmaker.github.io/.",

author = "Natkamon Tovanich and Alexis Pister and Gaelle Richer and Paola Valdivia and Christophe Prieur and Fekete, \{Jean Daniel\} and Petra Isenberg",

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AU - Prieur, Christophe

AU - Fekete, Jean Daniel

AU - Isenberg, Petra

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

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