XBlock-EOS: Extracting and exploring blockchain data from EOSIO. Issue 3 (May 2021)
- Record Type:
- Journal Article
- Title:
- XBlock-EOS: Extracting and exploring blockchain data from EOSIO. Issue 3 (May 2021)
- Main Title:
- XBlock-EOS: Extracting and exploring blockchain data from EOSIO
- Authors:
- Zheng, Weilin
Zheng, Zibin
Dai, Hong-Ning
Chen, Xu
Zheng, Peilin - Abstract:
- Abstract: Blockchain-based cryptocurrencies and applications have flourished in blockchain research community. Massive data generated from diverse blockchain systems bring not only huge business values but also technological challenges in data analytics of heterogeneous blockchain data. Different from Bitcoin and Ethereum, EOSIO has richer diversity and a higher volume of blockchain data due to its unique architectural design in resource management, consensus scheme and high throughput. Despite its popularity (e.g., 89, 800, 000 blocks generated till November 14, 2019 since its launch on June 8, 2018), few studies have been made on data analysis of EOSIO. To fill this gap, we collect and process the up-to-date on-chain data from EOSIO. We name these well-processed EOSIO datasets as XBlock-EOS, which consists of 7 well-processed datasets: (1) Block, Transaction and Action, (2) Internal and External EOS Transfer Action, (3) Contract Information, (4) Contract Invocation, (5) Token Action, (6) Account Creation, (7) Resource Management. It is challenging to process and analyze a high volume of raw EOSIO data and establish the mapping from original raw data to the well-grained datasets since it requires substantial efforts in extracting various types of data as well as sophisticated knowledge on software engineering and data analytics. Meanwhile, we present statistics and exploration on these datasets. Moreover, we also outline the possible research opportunities based onAbstract: Blockchain-based cryptocurrencies and applications have flourished in blockchain research community. Massive data generated from diverse blockchain systems bring not only huge business values but also technological challenges in data analytics of heterogeneous blockchain data. Different from Bitcoin and Ethereum, EOSIO has richer diversity and a higher volume of blockchain data due to its unique architectural design in resource management, consensus scheme and high throughput. Despite its popularity (e.g., 89, 800, 000 blocks generated till November 14, 2019 since its launch on June 8, 2018), few studies have been made on data analysis of EOSIO. To fill this gap, we collect and process the up-to-date on-chain data from EOSIO. We name these well-processed EOSIO datasets as XBlock-EOS, which consists of 7 well-processed datasets: (1) Block, Transaction and Action, (2) Internal and External EOS Transfer Action, (3) Contract Information, (4) Contract Invocation, (5) Token Action, (6) Account Creation, (7) Resource Management. It is challenging to process and analyze a high volume of raw EOSIO data and establish the mapping from original raw data to the well-grained datasets since it requires substantial efforts in extracting various types of data as well as sophisticated knowledge on software engineering and data analytics. Meanwhile, we present statistics and exploration on these datasets. Moreover, we also outline the possible research opportunities based on XBlock-EOS. Highlights: Fine-grained data processing from 89, 800, 000 blocks of EOSIO raw data. EOSIO blockchain data analytics. Statistics and exploration of EOSIO blockchain data. Outline the research opportunities based on EOSIO blockchain data. … (more)
- Is Part Of:
- Information processing & management. Volume 58:Issue 3(2021)
- Journal:
- Information processing & management
- Issue:
- Volume 58:Issue 3(2021)
- Issue Display:
- Volume 58, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 58
- Issue:
- 3
- Issue Sort Value:
- 2021-0058-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-05
- Subjects:
- Blockchain -- EOSIO -- Big data -- Data acquisition -- Data analysis -- Security
Information storage and retrieval systems -- Periodicals
Information science -- Periodicals
Systèmes d'information -- Périodiques
Sciences de l'information -- Périodiques
Information science
Information storage and retrieval systems
Periodicals
658.4038 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03064573 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ipm.2020.102477 ↗
- Languages:
- English
- ISSNs:
- 0306-4573
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4493.893000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22877.xml