Relational neighbor classifier

A relation model is based on the idea that the behavior between nodes is correlated, meaning that connected nodes have a propensity to belong to the same class. The relational neighbor classifier, in particular, predicts a node's class based on its neighboring nodes and adjacent edges.

The dataset transfers consists of transactions from different accounts. The account_info data contains which of these accounts are money mules. However, it is unknown whether account "I41" is a money mule. Predict the money mule propensity of account "I41" using a relational neighbor classifier.

Create an undirected graph net from the data frame transfers with graph_from_data_frame().
Plot the network where the nodes are "darkorange" if account_info$isMoneyMule is TRUE and slateblue1 otherwise.
Find the neighbors of node "I41" in the network.
Compute the money mule probability of node "I41" as the fraction of mule neighbors.

Take Hint (-30 XP)

Exercise

Relational neighbor classifier

Instructions