Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain
July 17, 2023 Β· Declared Dead Β· π PKDD/ECML Workshops
"No code URL or promise found in abstract"
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Authors
Rafael Ramos Tubino, Remy Cazabet, Natkamon Tovanich, Celine Robardet
arXiv ID
2307.08616
Category
cs.SI: Social & Info Networks
Cross-listed
cs.CY,
cs.LG,
q-fin.GN
Citations
0
Venue
PKDD/ECML Workshops
Last Checked
4 months ago
Abstract
We study the real economic activity in the Bitcoin blockchain that involves transactions from/to retail users rather than between organizations such as marketplaces, exchanges, or other services. We first introduce a heuristic method to classify Bitcoin players into three main categories: Frequent Receivers (FR), Neighbors of FR, and Others. We show that most real transactions involve Frequent Receivers, representing a small fraction of the total value exchanged according to the blockchain, but a significant fraction of all payments, raising concerns about the centralization of the Bitcoin ecosystem. We also conduct a weekly pattern analysis of activity, providing insights into the geographical location of Bitcoin users and allowing us to quantify the bias of a well-known dataset for actor identification.
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