Systems and methods for monitoring and analyzing financial transactions on public distributed ledgers for suspicious and/or criminal activity

A system configured for monitoring and analyzing transactions on one or more public distributed ledgers for suspicious or criminal activity, wherein the transactions include individual transactions in a set of transactions, the system comprising:

• one or more hardware processors configured by machine-readable instructions to:
• obtain information regarding the set of transactions recorded on a public distributed ledger, the public distributed ledger including a blockchain and an identification of individual user accounts, wherein the set of transactions includes a first individual recorded transaction and a second individual recorded transaction, wherein the first individual recorded transaction includes a first transfer from a first sender account to a first receiver account, wherein the second individual recorded transaction includes a second transfer from a second sender account to a second receiver account;
• access, through a network connection, public third-party information for a second set of user accounts that includes at least one of the first sender account and the first receiver account, wherein the public third-party information originates from one or more public online sources that are external to the public distributed ledger;
• determine a correlation between (a) a first portion of the public third-party information that pertains to the first sender account and (b) the first sender account, wherein the first portion of the public third-party information includes textual comments, and wherein labeling with a first label includes processing of the textual comments;
• label one or more of the individual user accounts with labels representing characteristics of at least one of the one or more transactions and the user accounts, such that individual ones of the individual user accounts either have been labeled or are unlabeled, and further such that the first sender account is labeled with the first label, wherein the first label represents a first characteristic of the first individual recorded transaction, and wherein at least one of the second sender account and the second receiver account are unlabeled so far;
• cluster one or more of the transactions into a set of clusters that includes a first cluster, wherein clustering is based on associations of different user accounts, wherein the individual user accounts labeled with the first label are clustered into the first cluster with at least one of:
• (i) the second sender account that is unlabeled, and
• (ii) the second receiver account that is unlabeled,
• wherein clustering into the first cluster is based on an association between (a) one or more individual user accounts labeled with the first label and (b) at least one of the second sender account and the second receiver account, wherein the association is based on the public third-party information;
• assign levels of risk for suspicious or criminal activity to the individual user accounts that have been labeled with the first label, and to one or both of the second sender account and the second receiver account;
• assign levels of risk for suspicious or criminal activity to the transactions from the set of transactions, wherein a first level of risk is assigned to the first individual recorded transaction and a second level of risk is assigned to the second individual recorded transaction, wherein assignment of the first level of risk is based on at least the first label, wherein assignment of the second level of risk is based on at least the assigned levels of risk of at least one of the second sender account and the second receiver account;
• and
• responsive to comparisons of the first level of risk and the second level of risk with a risk threshold level, record at least one of the first and second individual recorded transactions for suspicious or criminal activity.