Blockchain Meets Network Analytics: A Tale of Heuristics, Location, and Fraud Detection

Open Access
Authors
Publication date 2026
Host editors
  • C.Y.-H. Chen
  • W.K. Härdle
  • H.H.-S. Lu
Book title Handbook of Blockchain Analytics
ISBN
  • 9783031954177
ISBN (electronic)
  • 9783031954184
Series Springer Handbooks of Computational Statistics
Pages (from-to) 131-151
Publisher Cham: Springer
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam School of Economics Research Institute (ASE-RI)
Abstract
The information provided by blockchains of cryptocurrencies is immense and diverse. Blockchain information is represented by networks, the transaction network and the user network, approximated by the entity network. We review heuristics for constructing the entity network out of the transaction network and discuss how they have been used, improved, and developed over time. We introduce network analytics applied to blockchain data, which supports finance and economics research to look into location identification, fraud detection, and price investigations of cryptocurrencies, among other topics. We inspect how they make use of network analytics, often tailored to the specific properties of blockchains. By this comprehensive overview, we intend to aid research on the use of blockchain information to understand user behaviours and the corresponding price behaviours of cryptocurrencies.
Document type Chapter
Language English
Published at
Downloads
978-3-031-95418-4_7 (Final published version)
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