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Part 1: Document Description
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Citation |
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Title: |
A 4571 node 4762 edge directed weighted Bitcoin address subgraph |
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Identification Number: |
doi:10.21979/N9/FHBR2E |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2019-04-03 |
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Version: |
1 |
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Bibliographic Citation: |
Phetsouvanh, Silivanxay; Oggier, Frederique Elise; Datta, Anwitaman, 2019, "A 4571 node 4762 edge directed weighted Bitcoin address subgraph", https://doi.org/10.21979/N9/FHBR2E, DR-NTU (Data), V1, UNF:6:eaOdNvG+wlTlyrVAN+MAXQ== [fileUNF] |
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Citation |
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Title: |
A 4571 node 4762 edge directed weighted Bitcoin address subgraph |
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Identification Number: |
doi:10.21979/N9/FHBR2E |
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Authoring Entity: |
Phetsouvanh, Silivanxay (Nanyang Technological University) |
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Oggier, Frederique Elise (Nanyang Technological University) |
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Datta, Anwitaman (Nanyang Technological University) |
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Software used in Production: |
python |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Oggier, Frederique Elise |
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Depositor: |
Oggier, Frederique Elise |
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Date of Deposit: |
2019-04-03 |
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Holdings Information: |
https://doi.org/10.21979/N9/FHBR2E |
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Study Scope |
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Keywords: |
Computer and Information Science, Mathematical Sciences, Computer and Information Science, Mathematical Sciences, Bitcoin data |
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Abstract: |
This dataset contains an address subgraph of the Bitcoin network comprising 4571 nodes and 4762 edges. Every line contains 2 Bitcoin addresses separated by a comma, followed by a Bitcoin amount. This represents a directed edge in this subgraph. This data was extracted from the Bitcoin transaction network by Phetsouvanh Silivanxay. The amount is computed by agglomerating the involvement of the nodes in different transactions as explained in the accompanying paper. |
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Kind of Data: |
graph data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1109/ICDMW.2018.00043 |
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Bibliographic Citation: |
S. Phetsouvanh, F. Oggier and A. Datta, "EGRET: Extortion Graph Exploration Techniques in the Bitcoin Network," 2018 IEEE International Conference on Data Mining Workshops (ICDMW), Singapore, Singapore, 2018, pp. 244-251. |
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Citation |
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Identification Number: |
10356/88894 |
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Bibliographic Citation: |
S. Phetsouvanh, F. Oggier and A. Datta, "EGRET: Extortion Graph Exploration Techniques in the Bitcoin Network," 2018 IEEE International Conference on Data Mining Workshops (ICDMW), Singapore, Singapore, 2018, pp. 244-251. |
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Citation |
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Identification Number: |
10.1109/ICDMW.2018.00210 |
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Bibliographic Citation: |
F. Oggier, S. Phetsouvanh and A. Datta, "BiVA: Bitcoin Network Visualization & Analysis," 2018 IEEE International Conference on Data Mining Workshops (ICDMW), Singapore, Singapore, 2018, pp. 1469-1474. |
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Citation |
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Identification Number: |
10356/88895 |
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Bibliographic Citation: |
F. Oggier, S. Phetsouvanh and A. Datta, "BiVA: Bitcoin Network Visualization & Analysis," 2018 IEEE International Conference on Data Mining Workshops (ICDMW), Singapore, Singapore, 2018, pp. 1469-1474. |
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File Description--f8309 |
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File: 4571_nodes_and_4762_edges_graph.tab |
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Notes: |
UNF:6:eaOdNvG+wlTlyrVAN+MAXQ== |
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List of Variables: |
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Variables |
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f8309 Location: |
Variable Format: character Notes: UNF:6:WcyeDamMhQgtebg+DjAS6Q== |
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f8309 Location: |
Variable Format: character Notes: UNF:6:3b94yIFib5Yo/MRLEx2Brg== |
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f8309 Location: |
Summary Statistics: StDev 224.23180790018847; Max. 15462.400277388528; Min. 9.60412116762023E-8; Mean 4.252315499452637; Valid 4761.0; Variable Format: numeric Notes: UNF:6:po/lf7zYkD4HBD4s31jJjg== |