Visual Analytics for Monitoring and Exploration of Blockchain Data With a Focus on the Bitcoin Blockchain

Abstract : The goal of our work is to devise visual analytics techniques to deeply explore data stored on blockchains. Given the novel data storage nature of blockchains, they offer a unique opportunity to study the evolution of the stored data as well as data storage patterns. Opposed to most existing approaches that analyze the raw data we focus on aggregated measures. In particular, we analyze long-term activities and monitoring of activities that led to building the blockchain. We currently focus on the Bitcoin blockchain as the most popular blockchain with a turbulent history.
Document type :
Documents associated with scientific events
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.inria.fr/hal-01950934
Contributor : Petra Isenberg <>
Submitted on : Tuesday, December 11, 2018 - 10:44:18 AM
Last modification on : Thursday, December 13, 2018 - 1:16:15 AM
Long-term archiving on: Tuesday, March 12, 2019 - 1:36:18 PM

Identifiers

  • HAL Id : hal-01950934, version 1

Collections

Citation

Petra Isenberg, Christoph Kinkeldey, Jean-Daniel Fekete. Visual Analytics for Monitoring and Exploration of Blockchain Data With a Focus on the Bitcoin Blockchain. HCI for Blockchain: A CHI 2018 workshop on Studying, Critiquing, Designing and Envisioning Distributed Ledger Technologies, 2018, Montréal, Canada. ⟨hal-01950934⟩

Share

Metrics

Record views

125

Files downloads

214