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Data-driven analysis of Bitcoin properties: exploiting the users graph

Damiano Di Francesco Maesa 1 Andrea Marino 2, 3 Laura Ricci 1
1 University of Pisa - Università di Pisa
2 DI - Dipartimento di Informatica [Pisa]
3 ERABLE - Equipe de recherche européenne en algorithmique et biologie formelle et expérimentale
Inria Grenoble - Rhône-Alpes
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https://hal.inria.fr/hal-01964718
Contributor : Marie-France Sagot <>
Submitted on : Sunday, December 23, 2018 - 12:46:59 PM
Last modification on : Tuesday, February 26, 2019 - 10:54:02 AM

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Damiano Di Francesco Maesa, Andrea Marino, Laura Ricci. Data-driven analysis of Bitcoin properties: exploiting the users graph. International Journal of Data Science and Analytics, Springer Verlag, 2018, 6 (1), pp.63-80. ⟨10.1007/s41060-017-0074-x⟩. ⟨hal-01964718⟩

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