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Why It's Difficult to Accurately Predict Ethereum Transaction Times
- Ethereum transaction times are challenging to predict accurately due to factors like varying gas prices and data collection methods.
- The study examines processing times based on real-time data from Etherscan and EthGasStation for November to December 2019.
- Issues arise from discrepancies in block and processed timestamps, impacting transaction processing time estimates.
- Despite limitations, Etherscan remains a key tool for transaction monitoring in the Ethereum network.
- Gas prices are categorized to simplify analysis, with a focus on very cheap, cheap, regular, expensive, and very expensive prices.
- Alpha centrality is used to rank prediction models, highlighting the efficiency of linear regression for transaction time estimation.
- The study stresses the impact of network dynamics, hard forks, and market influences on transaction processing times in Ethereum.
- Data collection challenges prompt the need for more robust methods to gather accurate transaction processing time data.
- The study's findings serve as a snapshot of transactional history in Ethereum during the specified period, subject to contextual variations.
- Future studies are encouraged to analyze different time frames and factors influencing transaction processing times in various blockchain platforms.
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