  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.
