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Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Bartoletti, Massimo
Bracciali, Andrea
Lande, Stefano
Pompianu, Livio
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Title: A general framework for blockchain analytics (Forthcoming)
Citation: Bartoletti M, Bracciali A, Lande S & Pompianu L (2017) A general framework for blockchain analytics (Forthcoming) In: Proceedings of SERIAL '17 - 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers , New York: ACM. SERIAL '17 - 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers , 11.12.2017 - 15.12.2017, Las Vegas, NV, USA.
Issue Date: Dec-2017
Conference Name: SERIAL '17 - 1st Workshop on Scalable and Resilient Infrastructures for Distributed Ledgers
Conference Dates: 2017-12-11T00:00:00Z
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: Book Chapter: author post-print (pre-copy editing)
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