Titlebook: Blockchain Transaction Data Analytics; Complex Network Appr Jiajing Wu,Dan Lin,Zibin Zheng Book 2025 The Editor(s) (if applicable) and The

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Transaction Tracking Based on Personalized PageRank Algorithmelational blockchain transaction graphs. Theoretical analysis and experimental results on datasets from multiple blockchain platforms demonstrate that TRacer can perform transaction tracking tasks more efficiently at lower costs and achieve better tracking results compared to existing methods or eve

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Salvaging Strasberg at the Fin De Siècleaddition, the degree of addresses provides a useful foundation for forecasting the path of incoming transactions. There is a discussion of possible future research on Ethereum transaction link prediction, such as the label effect of center addresses.

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https://doi.org/10.1007/978-1-349-62271-9evolves from decentralization to oligopoly. Our method can effectively capture abnormal voting phenomena in EOSIO, which can also provide important insights for the design and maintenance of other DPoS-based blockchains.

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https://doi.org/10.1007/978-1-349-62271-9tures as edge features instead of node features within one task, allowing each transaction to be streamed in 2DynEthNet, aiming to capture the evolutionary features of the Ethereum transaction network at a fine-grained level in continuous time. ., we adopt the strategy of incremental information tra

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An Abductive Theory of Scientific Method,elational blockchain transaction graphs. Theoretical analysis and experimental results on datasets from multiple blockchain platforms demonstrate that TRacer can perform transaction tracking tasks more efficiently at lower costs and achieve better tracking results compared to existing methods or eve

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