Abstract | ||
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Most of the existing platform for Bitcoin data analysis or visualization, they perform data collection from one node in the main-net. Thus we can notice some differences in their provided data. In this research, and in order to provide global data visualization, we collect both the historical and realtime Bitcoin data. Our monitoring system is comprised of three main components; multiple full Bitcoin nodes were used to collect data, the analysis of data was done by the Analytic Engine, while the webserver was used to visualize both row-data and analyzed data. |
Year | DOI | Venue |
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2019 | 10.23919/APNOMS.2019.8892943 | 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS) |
Keywords | Field | DocType |
Bitcoin,monitoring system,Ledger Analysis,Bitcoin data visualization | Data collection,Data visualization,Data analysis,Monitoring system,Computer science,Visualization,Computer network,Notice,Database,Web server | Conference |
ISSN | ISBN | Citations |
2576-8565 | 978-1-7281-2733-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hye-Yeong Shin | 1 | 0 | 1.35 |
DaeYong Kim | 2 | 1 | 0.70 |
Soo Hoon Maeng | 3 | 1 | 1.72 |
Kiyoung Lee | 4 | 0 | 0.34 |
Hong-Taek Ju | 5 | 184 | 33.74 |