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Author Topic: Human-readable transaction network datasets and extraction scripts  (Read 871 times)
pizzicatoiv (OP)
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January 13, 2013, 03:10:58 AM
Last edit: January 13, 2013, 03:29:15 AM by pizzicatoiv
 #1

Hello, I am Ivan Brugere, a PhD student in computer science at the University of Illinois at Chicago (with a background in data mining). I am releasing some code to help extraction of human-readable (flat text file) bitcoin transactions for analysis.

I have ported/cleaned/consolidated the code previously used by Reid and Harrigan (though not publicly available), and I think the extraction is a better methodology than the Ron and Shamir paper last autumn.

I would also be interested in soliciting any help in collecting further bitcoin data. One thing of great value would be to categorize 'nodes' (particularly high-volume nodes) based on if they are exchanges (e.g. I group and identify a few hundred addresses used by Mt. Gox), mining pools, or other. These categories would help a lot in formulating computational problems on the network.

Also any discussion of potential problems we could formulate on these datasets would be much appreciated.

Link: http://compbio.cs.uic.edu/data/bitcoin/
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December 17, 2019, 11:36:26 AM
 #2

The link is not working
Can you please provide an active link?
Thank you

The author's account hasn't been active since May 2015. 
Can you please have conversations with active forum participants?
Thank you.

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