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How We Collected and Analyzed Ethereum Transaction Data
- The article discusses the collection and analysis of Ethereum transaction data utilizing data sources like Etherscan, EthGasStation, and Google BigQuery.
- Etherscan provides real-time information on Ethereum transactions, blocks, and smart contracts, along with two transaction processing time predictors.
- EthGasStation offers estimates of transaction processing times for various gas prices through its Gas Price API and Prediction Table API.
- Google BigQuery is used to analyze large datasets, including an Ethereum dataset containing metadata about transactions, blocks, and smart contracts.
- Data collection involved retrieving transaction hashes, pending timestamps, predicted processing times, and processed timestamps for analysis.
- The study aimed to determine the accuracy of transaction processing time estimates provided by different sources like Etherscan and EthGasStation.
- Various models were compared to analyze the predictions for transaction processing times based on gas prices.
- The research detailed the data collection approach, including retrieving timestamps, actual processing times, and comparing predictions from multiple sources.
- Authors of the study include researchers from Queen's University and Huawei in Canada.
- The paper is available on arXiv under a CC BY-NC-ND 4.0 DEED license for further reference.
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