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Part 1: Document Description
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Citation |
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Title: |
A 4571 node directed weighted Bitcoin address subgraph |
Identification Number: |
doi:10.21979/N9/IEPBXV |
Distributor: |
DR-NTU (Data) |
Date of Distribution: |
2018-10-25 |
Version: |
1 |
Bibliographic Citation: |
Oggier, Frederique Elise; Phetsouvanh, Silivanxay; Datta, Anwitaman, 2018, "A 4571 node directed weighted Bitcoin address subgraph", https://doi.org/10.21979/N9/IEPBXV, DR-NTU (Data), V1, UNF:6:ESZMAvxDSQdlDdmXcLL+Ng== [fileUNF] |
Citation |
|
Title: |
A 4571 node directed weighted Bitcoin address subgraph |
Identification Number: |
doi:10.21979/N9/IEPBXV |
Authoring Entity: |
Oggier, Frederique Elise (Nanyang Technological University) |
Phetsouvanh, Silivanxay (Nanyang Technological University) |
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Datta, Anwitaman (Nanyang Technological University) |
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Other identifications and acknowledgements: |
Phetsouvanh, Silivanxay |
Software used in Production: |
python/java |
Distributor: |
DR-NTU (Data) |
Access Authority: |
Oggier, Frederique Elise |
Depositor: |
Oggier, Frederique Elise |
Date of Deposit: |
2018-10-25 |
Holdings Information: |
https://doi.org/10.21979/N9/IEPBXV |
Study Scope |
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Keywords: |
Computer and Information Science, Mathematical Sciences, Computer and Information Science, Mathematical Sciences, graph, Bitcoin |
Abstract: |
This dataset contains an address subgraph of the Bitcoin network comprising 4571 nodes. Every line contains 2 Bitcoin addresses separated by a comma, followed by a weight. This represents a directed edge in this subgraph with its weight. This data was extracted from the Bitcoin transaction network by Phetsouvanh Silivanxay. The weight is computed by agglomerating the involvement of the nodes in different transactions as explained in the accompanying paper. |
Kind of Data: |
Bitcoin data |
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: |
10.7717/peerj-cs.220 |
Bibliographic Citation: |
Oggier, F., Phetsouvanh, S.,& Datta, A. (2019). A split-and-transfer flow based entropic centrality. PeerJ Computer Science, 5e220-. |
Citation |
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Identification Number: |
10356/136646 |
Bibliographic Citation: |
Oggier, F., Phetsouvanh, S., & Datta, A. (2019). A split-and-transfer flow based entropic centrality. PeerJ Computer Science, 5e220-. |
File Description--f4735 |
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File: 4571-weighted-Bitcoin-subgraph.tab |
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Notes: |
UNF:6:ESZMAvxDSQdlDdmXcLL+Ng== |
List of Variables: | |
Variables |
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f4735 Location: |
Variable Format: character Notes: UNF:6:PWm+P9CCmxlrBCQ6oNqBKg== |
f4735 Location: |
Variable Format: character Notes: UNF:6:Gg+tphiI0wWx9nrdlESKWg== |
f4735 Location: |
Summary Statistics: Min. 3.345397740589186E-10; Valid 9328.0; Max. 1.0000000000000002; Mean 0.5105165252166333; StDev 0.4820330960178864 Variable Format: numeric Notes: UNF:6:Ima1iHlBDYKDceiexgbnDQ== |