|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
An Ego network of suspected sextortionist(s) |
|
Identification Number: |
doi:10.21979/N9/VSK3KB |
|
Distributor: |
DR-NTU (Data) |
|
Date of Distribution: |
2019-11-27 |
|
Version: |
1 |
|
Bibliographic Citation: |
Oggier, Frederique Elise; Datta, Anwitaman; Phetsouvanh, Silivanxay, 2019, "An Ego network of suspected sextortionist(s)", https://doi.org/10.21979/N9/VSK3KB, DR-NTU (Data), V1 |
|
Citation |
|
|
Title: |
An Ego network of suspected sextortionist(s) |
|
Identification Number: |
doi:10.21979/N9/VSK3KB |
|
Authoring Entity: |
Oggier, Frederique Elise (Nanyang Technological University) |
|
Datta, Anwitaman (Nanyang Technological University) |
|
|
Phetsouvanh, Silivanxay (Nanyang Technological University) |
|
|
Software used in Production: |
Python |
|
Distributor: |
DR-NTU (Data) |
|
Access Authority: |
Oggier, Frederique Elise |
|
Depositor: |
Oggier, Frederique Elise |
|
Date of Deposit: |
2019-11-27 |
|
Holdings Information: |
https://doi.org/10.21979/N9/VSK3KB |
|
Study Scope |
|
|
Keywords: |
Computer and Information Science, Mathematical Sciences, Computer and Information Science, Mathematical Sciences, Bitcoin network |
|
Abstract: |
This data contains a Bitcoin subgraph which is the ego network of suspected sextortionist(s). The file name is of the form Gf***.gml, *** is the Bitcoin address of a node suspected of being involved in sextorsions. This graph is said to be an ego network because it is centered around occurrences of this address. <br><br> One way to use this dataset is the Python library NetworkX.<br> You can load the graph as follows: <br><br> <code> import networkx as nx <br> G = nx.read_gml('Gf3HXdb3HAw1wVzU9b7ZSigvGaStd8KoZ3zJ.gml') </code> <br><br> You can check the number of nodes and edges as follows: <br><br> <code> G.order()<br> 41671<br> <br> G.size()<br> 46949<br> </code> <br> The graph contains two types of nodes, here are two examples:<br> <br> <code> G.nodes()['34065075']<br> {'txdate': 1552470020.0, 'txhash': '845d9a6490b00c35ceab5044f262bfcf3df12a3a62367882ffad88d053ab520b', 'labels': 'tx'}<br> </code> <br> <code> G.nodes()['11680699']<br> {'outid': '845d9a6490b00c35ceab5044f262bfcf3df12a3a62367882ffad88d053ab520b@0', 'addr': '3HXdb3HAw1wVzU9b7ZSigvGaStd8KoZ3zJ', 'labels': 'out'} </code> <br><br> The first is a transaction node, txdate contains the date of the transaction in epoch time, txhash contains the hash of the transaction. <br><br> The second is an address node, addr contains the wallet address, the outid refers to the way transaction data is stored on the Blockchain: every address node is given as the output of a transaction, with its output number (@ is used as a delimiter, 0 is the output number). |
|
Kind of Data: |
Graph data |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Other Study Description Materials |
|
|
Related Publications |
|
|
Citation |
|
|
Identification Number: |
10.1007/s13278-020-00650-x |
|
Bibliographic Citation: |
Oggier, F., Datta, A., & Phetsouvanh, S. (2020). An ego network analysis of sextortionists. Social Network Analysis and Mining, 10(1). doi:10.1007/s13278-020-00650-x |
|
Citation |
|
|
Identification Number: |
10356/143527 |
|
Bibliographic Citation: |
Oggier, F., Datta, A., & Phetsouvanh, S. (2020). An ego network analysis of sextortionists. Social Network Analysis and Mining, 10(1). |
|
Label: |
Gf3HXdb3HAw1wVzU9b7ZSigvGaStd8KoZ3zJ.gml |
|
Text: |
Graph data in gml format. See description above for instructions on how to read it in NetworkX (Python). |
|
Notes: |
application/gml+xml |