Graphs for people and transactions with an eye to fraud

Graph databases seem to lend themselves to modeling people and their interactions and relationships. You tend to see them used in Customer 360 type systems. Let's walk through how a Graph Database might be applied to identifying coupling between fraud incidents.


A person and their transactions

This is an incomplete model for discussion purposes

Overlapping people and transactions

Coalescing People