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Topic: What metrics do we want to extract from the Bitcoin transaction graph? (Read 1054 times)

legendary
Activity: 2506
Merit: 1010
They are asking the Bitcoin community - what information do you want to try to extract from the transaction graph?

Blockchain-based provably fair gambling sites like SatoshiDICE use a publicly known address for each wager and for each payout.  This causes them to be good candidates for use in study.

I'm not sure what information it might yield.  Since individual wagers there frequently are in the 100 to 250 BTC range (i.e., $1,200 to $3,000 USD for a single bet) it would be interesting to know if somehow this service is being used as a low cost mixing service.

While this doesn't remove traceability, it does change the composition of a wallet.  So taking coins that are tainted and sending the coins through SatoshiDICE is something that costs 1.9% per pass but it cuts the level of original taint by 50% (statistically, over the long run).    Of course, this is a flawed approach for mixing because the winnings returned would assume the same level of taint that the coins used in the wagering  (i.e., a tainted coin taints every other coin in a SatoshiDICE payout) had.  But the tools that report taint probably aren't sophisticated enough to take this characteristic of SatoshiDICE payouts into account and thus report low levels of taint after being passed through SatoshiDICE.

I don't know how you could identify wagers made for the purpose of mixing (reducing taint) versus wagers made for gambling / entertainment purposes though.
donator
Activity: 2058
Merit: 1054
For the purpose of researching the Quantitative Analysis of the Full Bitcoin Transaction Graph paper, Adi Shamir and Dorit Ron have parsed the blockchain data, put it in a query-friendly database and built some tools to analyze it.

The particular metrics they have so far chosen to extract from this data, and their interpretation of them, have been the subject of some criticism. However, now that they have this infrastructure for analysis, they would like to leverage it to analyze more useful metrics.

They are asking the Bitcoin community - what information do you want to try to extract from the transaction graph?
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