Graph Visualization for Blockchain Data
<|reference_start|>Graph Visualization for Blockchain Data: 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.<|reference_end|>
@article{dietl2024graph,
    title={Graph Visualization for Blockchain Data},
    author={Marcell Dietl, Andre Gem"und, Daniel Oeltz, Felix M. Thiele,
  Christian Werner},
    journal={arXiv preprint arXiv:2403.03504},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.03504},
    primaryClass={cs.DS cs.DM}
}