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GraphletMatchMaker: Visual Analytics Approaches to Graph Matching in Cybersecurity Communities

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Abstract

We report on our approach, statistical and graphical analysis, as well as three visual analytics tools we built to address the VAST 2020 Mini-Challenge 1. First, we compared the structure of subgraphs using node-link diagrams, graphlet frequencies, and temporal profiles. Second, we devised a method to extract a subgraph of the large graph that matches the identified graph structure and built a custom visualization to check our results. Finally, we developed another visual analytics tool to facilitate manual search for pairing person nodes that helped us to solve the challenge. The full report and visualizations are available at https://graphletmatchmaker.github.io/.
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Dates and versions

hal-02986447 , version 1 (03-11-2020)

Identifiers

  • HAL Id : hal-02986447 , version 1

Cite

Natkamon Tovanich, Alexis Pister, Gaëlle Richer, Paola Valdivia, Jean-Daniel Fekete, et al.. GraphletMatchMaker: Visual Analytics Approaches to Graph Matching in Cybersecurity Communities. IEEE Visual Analytics Science and Technology, VAST Challenge, Oct 2020, Virtual Conference, United States. ⟨hal-02986447⟩
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