• Corpus ID: 209386809

Visualizing and Analyzing Entity Activity on the Bitcoin Network

@article{Kinkeldey2019VisualizingAA,
  title={Visualizing and Analyzing Entity Activity on the Bitcoin Network},
  author={Christoph Kinkeldey and Jean-Daniel Fekete and Tanja Blascheck and Petra Isenberg},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.08101}
}
We present BitConduite, a visual analytics tool for explorative analysis of financial activity within the Bitcoin network. Bitcoin is the largest cryptocurrency worldwide and a phenomenon that challenges the underpinnings of traditional financial systems - its users can send money pseudo-anonymously while circumventing traditional banking systems. Yet, despite the fact that all financial transactions in Bitcoin are available in an openly accessible online ledger - the blockchain - not much is… 
1 Citations
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References

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TLDR
The system BitConduite offers a data transformation back end that gives an entity-based access to the blockchain data and a visualization front end that supports a novel high-level view on transactions over time that facilitates the exploration of activity through filtering and clustering interactions.
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