Abstract
In this paper, we conduct a complex-network analysis of the Bitcoin network. In particular, we design a new sampling method namely random walk with flying-back (RWFB) to conduct effective data sampling. We then conduct a comprehensive analysis of the Bitcoin network in terms of the degree distribution, clustering coefficient, the shortest path length, the assortativity, and the rich-club coefficient. There are several important observations from the Bitcoin network, such as small-world phenomenon and non-rich-club effect. This work brings up an in-depth understanding of the current Bitcoin blockchain network and offers implications for future directions in malicious activity and fraud detection in cryptocurrency blockchain networks.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings |
| Publisher | IEEE |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Print) | 9781728192017 |
| DOIs | |
| Publication status | Published - May 2021 |
| Event | 53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Daegu, Korea, Republic of Duration: 22 May 2021 → 28 May 2021 https://ieeexplore.ieee.org/xpl/conhome/9401028/proceeding |
Publication series
| Name | Proceedings - IEEE International Symposium on Circuits and Systems |
|---|---|
| Volume | 2021-May |
| ISSN (Print) | 2158-1525 |
Conference
| Conference | 53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Daegu |
| Period | 22/05/21 → 28/05/21 |
| Internet address |
Scopus Subject Areas
- Electrical and Electronic Engineering
User-Defined Keywords
- Bitcoin
- Blockchain
- Complex network
- Network analysis