Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107099
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical and Electronic Engineering | - |
| dc.creator | Tao, B | - |
| dc.creator | Ho, IWH | - |
| dc.creator | Dai, HN | - |
| dc.date.accessioned | 2024-06-13T01:03:54Z | - |
| dc.date.available | 2024-06-13T01:03:54Z | - |
| dc.identifier.isbn | 978-1-7281-9201-7 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/107099 | - |
| dc.description | 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 22-28 May 2021, Daegu, Korea | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.rights | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
| dc.rights | The following publication B. Tao, I. W. -H. Ho and H. -N. Dai, "Complex Network Analysis of the Bitcoin Blockchain Network," 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, 2021 is available at https://doi.org/10.1109/ISCAS51556.2021.9401533. | en_US |
| dc.subject | Bitcoin | en_US |
| dc.subject | Blockchain | en_US |
| dc.subject | Complex network | en_US |
| dc.subject | Network analysis | en_US |
| dc.title | Complex network analysis of the Bitcoin blockchain network | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.doi | 10.1109/ISCAS51556.2021.9401533 | - |
| dcterms.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. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | In Proceedings of 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 22-28 May 2021, Daegu, Korea | - |
| dcterms.issued | 2021 | - |
| dc.identifier.scopus | 2-s2.0-85108988544 | - |
| dc.relation.conference | IEEE International Symposium on Circuits and Systems [ISCAS] | - |
| dc.description.validate | 202404 bckw | - |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | EIE-0061 | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | University Grant Committee (UGC) of the Hong Kong Special Administrative Region (HKSAR), China | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 50565650 | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Conference Paper | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Ho_Complex_Network_Analysis.pdf | Pre-Published version | 459.4 kB | Adobe PDF | View/Open |
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