Tracking Transactions in Crypto Currencies Using the Graph Theory

this article is devoted to the study of blockchain wallets transactions related to trafficking in illicit substances in Russia. A program has been written in Python that allows to find arbitrarily distant connections of any wallet, as well as visualize these connections in the form of a graph. All wallets found are added to the database, which can subsequently expand significantly. From the wallet of any person it will be possible to judge whether user belongs to any criminal organization or to find out if several people are accomplices.