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Analysis of BTC Blockchain Ledger

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IEEE2019-02-01 更新2026-04-17 收录
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https://ieee-dataport.org/documents/analysis-btc-blockchain-ledger
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The data contains BTC Blockchain ledger of 100M, from February 3, 2009 to April 25, 2011. It also includes analysis results of the ledger: 10 characteristic indicators and 2 money laundering models. 10 characteristic indicators are ‘top 100 nodes with most in-degree’, ‘top 100 nodes with most out-degree’, ‘nodes have frequent transactions’, ‘a user owns several accounts’, ‘nodes have transactions with large amount of money’, ‘double-umbrella model’, ‘nodes with indirect transaction’, ’ loop network’, ‘nodes with close relationship’, and ‘transactions whose receiver and payer are the same account’. Two money laundering models include ‘Double-umbrella money laundering model’ and ‘Internal transfer money laundering model’.
提供机构:
School of Computer Science, China University of Geosciences, Wuhan, 430074, P.R. China.; School of Computer Science, China University of Geosciences, Wuhan, 430074, P.R. China; Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan, 430074, P.R. China; Guizhou Provincial Key Laboratory o
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2019-02-01
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