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

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)89-102
Number of pages14
JournalIEEE Computer Graphics and Applications
Volume42
Issue number4
DOIs
Publication statusPublished - 1 Jan 2022
Externally publishedYes

Fingerprint

Dive into the research topics of 'VAST 2020 Contest Challenge: GraphMatchMaker - Visual Analytics for Graph Comparison and Matching'. Together they form a unique fingerprint.

Cite this