MiningVis: visual analytics of the Bitcoin mining economy - Laboratoire Interdisciplinaire des Sciences du Numérique Access content directly
Journal Articles IEEE Transactions on Visualization and Computer Graphics Year : 2022

MiningVis: visual analytics of the Bitcoin mining economy

Abstract

We present a visual analytics tool, MiningVis, to explore the long-term historical evolution and dynamics of the Bitcoin mining ecosystem. Bitcoin is a cryptocurrency that attracts much attention but remains difficult to understand. Particularly important to the success, stability, and security of Bitcoin is a component of the system called "mining.'' Miners are responsible for validating transactions and are incentivized to participate by the promise of a monetary reward. Mining pools have emerged as collectives of miners that ensure a more stable and predictable income. MiningVis aims to help analysts understand the evolution and dynamics of the Bitcoin mining ecosystem, including mining market statistics, multi-measure mining pool rankings, and pool hopping behavior. Each of these features can be compared to external data concerning pool characteristics and Bitcoin news. In order to assess the value of MiningVis, we conducted online interviews and insight-based user studies with Bitcoin miners. We describe research questions tackled and insights made by our participants and illustrate practical implications for visual analytics systems for Bitcoin mining.
Fichier principal
Vignette du fichier
VAST_2021_MiningVis.pdf (1.51 Mo) Télécharger le fichier
Vignette du fichier
teaser.png (320.03 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Format : Figure, Image
Origin : Files produced by the author(s)
licence : CC BY - Attribution

Dates and versions

hal-03348145 , version 1 (17-09-2021)

Identifiers

Cite

Natkamon Tovanich, Nicolas Soulié, Nicolas Heulot, Petra Isenberg. MiningVis: visual analytics of the Bitcoin mining economy. IEEE Transactions on Visualization and Computer Graphics, 2022, 28 (1), pp.868-878. ⟨10.1109/TVCG.2021.3114821⟩. ⟨hal-03348145⟩
602 View
942 Download

Altmetric

Share

Gmail Facebook X LinkedIn More