The week's pick
Reseach Article
Digital Currency Network Centrality Measure (DCNC): A New Centrality Measure for Cryptocurrency Datasets
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 67 |
| Year of Publication: 2025 |
| Authors: Syed Ur Rehman, Ubaida Fatima |
10.5120/ijca2025924486
|
Syed Ur Rehman, Ubaida Fatima . Digital Currency Network Centrality Measure (DCNC): A New Centrality Measure for Cryptocurrency Datasets. International Journal of Computer Applications. 186, 67 ( Feb 2025), 41-46. DOI=10.5120/ijca2025924486
Abstract
Digital currency transaction graphs can be analyzed through Social Network analysis (SNA) techniques to understand complex networks. The importance of nodes was determined through many popular centrality measures including Degree centrality (DC), eigenvector centrality (EVC), betweenness centrality (BC) and closeness centrality (CC).A Novel centrality metrics: Digital currency network centrality measures(DCNC), which is especially conceptualized and designed to measure the importance of nodes based on their involvement in digital currency transactions networks. By Pearson's correlation coefficient (r), DCNC is correlates with standard centrality measures, a strong positive correlation is observed confirming that DCNC accurately correlates with standard metrics and giving more information about digital currencies networks. Results are validate by three real life datasets and two small graphs.
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