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Towards open data blockchain analytics: a Bitcoin perspective.

D McGinn1, D McIlwraith1, Y Guo1

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Summary
This summary is machine-generated.

Bitcoin

Keywords:
bitcoinblockchaindata mininggraph databaseknowledge discoveryopen data

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Area of Science:

  • Computer Science
  • Economics
  • Cryptography

Background:

  • Public permissionless blockchains, like Bitcoin, offer open access without central authorities.
  • Bitcoin's blockchain provides a unique, transparent dataset for analyzing digital economic behavior.
  • Previous analyses were limited by the complex binary data structure.

Purpose of the Study:

  • To demonstrate the social and econometric benefits of Bitcoin's open data architecture.
  • To analyze user activity, wealth accumulation, and monetary properties using blockchain data.
  • To highlight advantages over private, permissioned distributed ledger technologies.

Main Methods:

  • Translating the Bitcoin blockchain's binary data into a high-fidelity graph model.
  • Analyzing transaction patterns to link user activity.
  • Applying the quantity theory of money to assess disinflationary properties.

Main Results:

  • Revealed repeated transaction patterns linking user activity across the blockchain.
  • Associated newly mined bitcoin to demonstrate wealth accumulation.
  • Quantified Bitcoin's disinflationary properties and identified community defense mechanisms against denial-of-service attacks.

Conclusions:

  • The open data architecture of Bitcoin offers significant social and econometric benefits.
  • Graph modeling enables novel insights into blockchain data.
  • Public, permissionless blockchains present advantages over private, permissioned systems for transparency and analysis.