Rémy Cazabet (Université Lyon 1, LIRIS) – Data-driven analysis of Bitcoin transactions

An interesting property of most cryptocurrencies, and Bitcoin in particular, is that the whole history of transactions is accessible to anyone. The objective of the ANR JCJC project BITUNAM (Bitcoin User Network Analysis and Mining) I’m leading is to collect and analyse the transactions on the Bitcoin Blockchain. In this presentation, I’ll introduce what we can and cannot see in that data, introduce the principle of some machine learning techniques we use to better interpret those transactions, and present some examples of usages of transaction flow tracking.

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