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/

I am a graduate student in computer science at UI-Chicago. I am releasing a set of data and tools (http://compbio.cs.uic.edu/data/bitcoin/) and would like to advertise this release.

I am also interested in recruiting volunteers to help label nodes (esp. high-volume nodes) in the network by their category (mining pool, exchange, other), and to help collect transaction keys of further events than are in the thefts/scams thread.

If you could please whitelist for this. thank you,

Hello, I am Ivan, a PhD student at UI-Chicago in computer science working in data mining of large networks. I have developed a set of data tools that I'd like to release in the main forums and also discuss with others about studying the properties of the bitcoin network and exchanges.

Right now I've been interested in the theft/scam events thread and would like to collect more transaction keys related to thefts. Second, I have some address groupings which belong to a single user (i.e. maybe a thousand pubkeys for Mt. Gox). I'd be very interested in labeling some of these (high value users) as miners, exchanges, or some other category.