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The Cartographer
Graph Visualization for Blockchain Data
March 06, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Marcell Dietl, Andre GemΓΌnd, Daniel Oeltz, Felix M. Thiele, Christian Werner
arXiv ID
2403.03504
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DM
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this report, we introduce a novel approach to visualize extremely large graphs efficiently. Our method combines two force-directed algorithms, Kamada-Kawai and ForceAtlas2, to handle different graph components based on their node count. Additionally, we suggest utilizing the Fast Multipole method to enhance the speed of ForceAtlas2. Although initially designed for analyzing bitcoin transaction graphs, for which we present results here, this algorithm can also be applied to other crypto currency transaction graphs or graphs from diverse domains.
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