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On 2005-06-23 I enabled use of Link tag within labl and enabled catStat to display repetitions in catgry. --><html> <head> <META http-equiv="Content-Type" content="text/html; charset=UTF-8"> <title>A 178 node directed Bitcoin address subgraph</title> <style type="text/css" media="screen"> body { background-color: #FFFFFF; margin-top: 5px; margin-left: 5px; margin-right: 5px; padding-left: 0px; padding-top: 0px; padding-right: 0px; } tr.h1 { background: #000000; color: #FFFFFF; } td.h3 { vertical-align: top; text-align: right; font-style: italic; } tr.h2 { background: #CCCCCC; color: #000000; } caption { font-family: arial, helvetica, geneva, verdana, sans-serif; font-size: 11pt; font-weight: bold; } p { font-family: arial, helvetica, geneva, verdana, sans-serif; font-size: 11pt; } table { padding-top: 10px; padding-bottom: 10px; border: none; } th { text-align: left; } dl { font-family: arial, helvetica, geneva, verdana, sans-serif; font-size: 11pt; } td { vertical-align: top; } blockquote { font-family: arial, helvetica, geneva, verdana, sans-serif; font-size: 11pt; } .noindent {padding-left: 0px;} .small {font-size: 9pt;} .red {color: #CC0000;} ol { font-family: arial, helvetica, geneva, verdana, sans-serif; font-size: 11pt; } ul { font-family: arial, helvetica, geneva, verdana, sans-serif; list-style: square; font-size: 11pt; } h1 { font-family: arial, helvetica, geneva, verdana, sans-serif; font-size: 14pt; } h2 { font-family: arial, helvetica, geneva, verdana, sans-serif; font-size: 12pt; } h3 { font-family: arial, helvetica, geneva, verdana, sans-serif; font-size: 11pt; font-style: bold; } h4 { font-family: arial, helvetica, geneva, verdana, sans-serif; font-size: 10pt; } </style> </head> <body bgcolor="#ffffff" lang="en-US"> <h1>A 178 node directed Bitcoin address subgraph (doi:10.21979/N9/TJMQ8L)</h1> <table border="0" cellpadding="5" cellspacing="0"> <tr> <td valign="top"> <p> <b>View:</b> </p> </td><td> <p> <a href="#1.0">Part 1: Document Description</a> <br> <a href="#2.0">Part 2: Study Description</a> <br> <a href="#5.0">Part 5: Other Study-Related Materials</a> <br> <a href="">Entire Codebook</a> </p> </td> </tr> </table> <table border="0" cellpadding="5" cellspacing="5"> <tr class="h1"> <th align="left" colspan="2"> <p> <a name="1.0" id="1.0">Document Description</a> </p> </th> </tr> <tr class="h2"> <th colspan="2"> <p>Citation</p> </th> </tr> <tr> <td class="h3"> <p>Title:</p> </td><td> <p>A 178 node directed Bitcoin address subgraph</p> </td> </tr> <tr> <td class="h3"> <p>Identification Number:</p> </td><td> <p>doi:10.21979/N9/TJMQ8L</p> </td> </tr> <tr> <td class="h3"> <p>Distributor:</p> </td><td> <p>DR-NTU (Data)</p> </td> </tr> <tr> <td class="h3"> <p>Date of Distribution:</p> </td><td> <p>2018-08-22</p> </td> </tr> <tr> <td class="h3"> <p>Version:</p> </td><td> <p>1</p> </td> </tr> <tr> <td class="h3"> <p>Bibliographic Citation:</p> </td><td> <p>Oggier, Frederique Elise; Phetsouvanh, Silivanxay; Datta, Anwitaman, 2018, "A 178 node directed Bitcoin address subgraph", https://doi.org/10.21979/N9/TJMQ8L, DR-NTU (Data), V1</p> </td> </tr> <tr class="h1"> <th colspan="2"> <p> <a name="2.0">Study Description</a> </p> </th> </tr> <tr class="h2"> <th colspan="2"> <p>Citation</p> </th> </tr> <tr> <td class="h3"> <p>Title:</p> </td><td> <p>A 178 node directed Bitcoin address subgraph</p> </td> </tr> <tr> <td class="h3"> <p>Identification Number:</p> </td><td> <p>doi:10.21979/N9/TJMQ8L</p> </td> </tr> <tr> <td class="h3"> <p>Authoring Entity:</p> </td><td> <p>Oggier, Frederique Elise (Nanyang Technological University)</p> </td> </tr> <tr> <td class="h3"></td><td> <p>Phetsouvanh, Silivanxay (Nanyang Technological University)</p> </td> </tr> <tr> <td class="h3"></td><td> <p>Datta, Anwitaman (Nanyang Technological University)</p> </td> </tr> <tr> <td class="h3"> <p>Other identifications and acknowledgements:</p> </td><td> <p>Phetsouvanh, Silivanxay</p> </td> </tr> <tr> <td class="h3"> <p>Software used in Production:</p> </td><td> <p>python/java</p> </td> </tr> <tr> <td class="h3"> <p>Distributor:</p> </td><td> <p>DR-NTU (Data)</p> </td> </tr> <tr> <td class="h3"> <p>Access Authority:</p> </td><td> <p>Oggier, Frederique Elise</p> </td> </tr> <tr> <td class="h3"> <p>Depositor:</p> </td><td> <p>Oggier, Frederique Elise</p> </td> </tr> <tr> <td class="h3"> <p>Date of Deposit:</p> </td><td> <p>2018-08-22</p> </td> </tr> <tr> <td class="h3"> <p>Holdings Information:</p> </td><td> <p>https://doi.org/10.21979/N9/TJMQ8L</p> </td> </tr> <tr class="h2"> <th colspan="2"> <p>Study Scope</p> </th> </tr> <tr> <td class="h3"> <p>Keywords:</p> </td><td> <p>Computer and Information Science, Mathematical Sciences, Computer and Information Science, Mathematical Sciences, graph, Bitcoin</p> </td> </tr> <tr> <td class="h3"> <p>Abstract:</p> </td><td> <p>This dataset contains an address subgraph of the Bitcoin network comprising 178 nodes. Every line contains 2 Bitcoin addresses separated by a comma. This represents a directed edge in this subgraph. This data was extracted from the Bitcoin transaction network by Phetsouvanh Silivanxay.</p> </td> </tr> <tr> <td class="h3"> <p>Kind of Data:</p> </td><td> <p>Bitcoin data</p> </td> </tr> <tr class="h2"> <th colspan="2"> <p>Methodology and Processing</p> </th> </tr> <tr> <th colspan="2"> <p>Sources Statement</p> </th> </tr> <tr class="h2"> <th colspan="2"> <p>Data Access</p> </th> </tr> <tr class="h2"> <th colspan="2"> <p>Other Study Description Materials</p> </th> </tr> <tr> <th colspan="2"> <p>Related Publications</p> </th> </tr> <tr class="h2"> <th colspan="2"> <p>Citation</p> </th> </tr> <tr> <td class="h3"> <p>Identification Number:</p> </td><td> <p>10356/88099</p> </td> </tr> <tr> <td class="h3"> <p>Bibliographic Citation:</p> </td><td> <p>Oggier, F., Phetsouvanh, S.,& Datta, A. (2018). Entropy-based Graph Clustering - A Simulated Annealing Approach. 2018 International Symposium on Information Theory and Its Applications (ISITA). Singapore, 2018, pp. 242-246.</p> </td> </tr> (<a href="https://hdl.handle.net/10356/88099">external link</a>) <tr class="h2"> <th colspan="2"> <p>Citation</p> </th> </tr> <tr> <td class="h3"> <p>Identification Number:</p> </td><td> <p>10.23919/ISITA.2018.8664249</p> </td> </tr> <tr> <td class="h3"> <p>Bibliographic Citation:</p> </td><td> <p>Oggier, F., Phetsouvanh, S.,& Datta, A. (2018). Entropy-based Graph Clustering - A Simulated Annealing Approach. 2018 International Symposium on Information Theory and Its Applications (ISITA). Singapore, 2018, pp. 242-246.</p> </td> </tr> (<a href="https://ieeexplore.ieee.org/document/8664249">external link</a>) <tr> <th align="left" colspan="2"> <p> <a name="f2988"></a><a name="5.0">Other Study-Related Materials</a> </p> </th> </tr> <tr> <td align="right" valign="top"> <p>Label:</p> </td><td> <p>178-node-directed-bitcoin-subgraph.txt</p> </td> </tr> <tr> <td align="right" valign="top"> <p>Text:</p> </td><td> <p>Graph data, every line contains an edge, described by a pair of edges separated by a comma.</p> </td> </tr> <tr> <td class="h3"> <p>Notes:</p> </td><td> <p>text/plain</p> </td> </tr> </table> </body> </html>