Data-driven analysis of Bitcoin properties: exploiting the users graph - Archive ouverte HAL Access content directly
Journal Articles International Journal of Data Science and Analytics Year : 2018

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

(1) , (2, 3) , (1)
1
2
3

Domains

Computer Science [cs]

Marie-France Sagot  : Connect in order to contact the contributor

https://hal.inria.fr/hal-01964718

Submitted on : Sunday, December 23, 2018-12:46:59 PM

Last modification on : Wednesday, January 4, 2023-3:22:08 PM

Not file

Dates and versions

hal-01964718 , version 1 (23-12-2018)

Identifiers

Cite

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, 2018, 6 (1), pp.63-80. ⟨10.1007/s41060-017-0074-x⟩. ⟨hal-01964718⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

INRIA INRIA2
28 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More