Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26190
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Bartoletti, Massimo
Bracciali, Andrea
Lande, Stefano
Pompianu, Livio
Contact Email: abb@cs.stir.ac.uk
Title: A general framework for blockchain analytics
Citation: Bartoletti M, Bracciali A, Lande S & Pompianu L (2017) A general framework for blockchain analytics In: SERIAL '17 Proceedings of the 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers. SERIAL '17 - 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers, New York, 11.12.2017-15.12.2017. New York: ACM, p. Article 7. https://doi.org/10.1145/3152824.3152831; https://doi.org/10.1145/3152824.3152831.
Issue Date: Dec-2017
Conference Name: SERIAL '17 - 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers
Conference Dates: 2017-12-11 - 2017-12-15
Conference Location: Las Vegas, NV, USA
Abstract: Modern cryptocurrencies exploit decentralised blockchains to record a public and unalterable history of transactions. Besides transactions, further information is stored for different, and often undisclosed, purposes, making the blockchains a rich and increasingly growing source of valuable information, in part of difficult interpretation. Many data analytics have been developed, mostly based on specifically designed and ad-hoc engineered approaches.We propose a general-purpose framework, seamlessly supporting data analytics on both Bitcoin and Ethereum — currently the two most prominent cryptocurrencies. Such a framework allows us to integrate relevant blockchain data with data from other sources, and to organise them in a database, either SQL or NoSQL. Our framework is released as an open-source Scala library. We illustrate the distinguishing features of our approach on a set of significant use cases, which allow us to empirically compare ours to other competing proposals, and evaluate the impact of the database choice on scalability.
Status: AM - Accepted Manuscript
Rights: Publisher policy allows this work to be made available in this repository. Published in SERIAL '17 Proceedings of the 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers, article 7, by ACM. The original publication is available at: https://doi.org/10.1145/3152824.3152831
URL: https://doi.org/10.1145/3152824.3152831

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