RWgraph (version 1.0.0)

rw_client: Random walk simulation

Description

Computes a random walk path for a given client.

Usage

rw_client(v, g, data)

Value

A vector with the number of steps taken in the random walk and the total transactioned amount in it.

Arguments

v

The initial vertex of the input graph.

g

The input graph. It should be a transactional graph with the amount as the attribute of each edge. The vertices must be the clients IDs.

data

Dataframe with information of the clients. It should include a column with the clients IDs named "customer_id" and the alert label named "sar_flag" that must be a boolean variable.

References

Eddin, A. N., Bono, J., Aparício, D., Polido, D., Ascensao, J. T., Bizarro, P., and Ribeiro, P. (2021). Anti-money laundering alert optimization using machine learning with graphs. arXiv preprint arXiv:2112.07508.

Examples

g <- igraph::graph_from_data_frame(d = transactions_small_example[, 1:3], directed = TRUE)
v <- transactions_small_example[1, 1]
rw_client(v, g, data = clients_small_example)