A 4571 node directed weighted Bitcoin address subgraph (doi:10.21979/N9/IEPBXV)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
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Document Description

Citation

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]

Study Description

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)

Datta, Anwitaman (Nanyang Technological University)

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

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

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

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

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

File: 4571-weighted-Bitcoin-subgraph.tab

  • Number of cases: 9328

  • No. of variables per record: 3

  • Type of File: text/tab-separated-values

Notes:

UNF:6:ESZMAvxDSQdlDdmXcLL+Ng==

Variable Description

List of Variables:

Variables

Source

f4735 Location:

Variable Format: character

Notes: UNF:6:PWm+P9CCmxlrBCQ6oNqBKg==

Target

f4735 Location:

Variable Format: character

Notes: UNF:6:Gg+tphiI0wWx9nrdlESKWg==

Weight

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==