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XBlock-ETH: Extracting and Exploring Blockchain Data From Ethereum
- Source :
- IEEE Open Journal of the Computer Society, Vol 1, Pp 95-106 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Blockchain-based cryptocurrencies have received extensive attention recently. Massive data has been stored on permission-less blockchains. The analysis of massive blockchain data can bring huge business values. However, the absence of well-processed up-to-date blockchain datasets impedes big data analytics of blockchain data. To fill this gap, we collect and process the up-to-date on-chain data from Ethereum, which is one of the most popular permission-less blockchains. We name such well-processed Ethereum data as XBlock-ETH, which consists of transactions, smart contracts, and cryptocurrencies (i.e., tokens). However, it is non-trivial to partition and categorize the collected raw Ethereum data to the well-processed datasets since the whole processing procedure requires sophisticated knowledge on software engineering as well as big data analytics. Moreover, we also present basic statistics and exploration for each of the well-processed datasets. Furthermore, we also outline the possible research opportunities based on XBlock-ETH, with the data and code released online.
- Subjects :
- Information privacy
Cryptocurrency
Blockchain
lcsh:T58.5-58.64
Computer science
Process (engineering)
business.industry
lcsh:Information technology
Big data
Business value
smart contracts
Data science
Partition (database)
lcsh:QA75.5-76.95
Data analysis
ethereum
lcsh:Electronic computers. Computer science
business
data analytics
Subjects
Details
- Language :
- English
- ISSN :
- 26441268
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- IEEE Open Journal of the Computer Society
- Accession number :
- edsair.doi.dedup.....4ec5ce88d294b87233bbd78256813554