10 Social network analysis against fraud
This chapter covers
- Using social network analysis (SNA) to classify fraudsters and fraud risks
- Describing different graph algorithms for SNA-based fraud analytics
- Using a real graph database to perform a proper SNA
In this chapter, you will learn about techniques for combating fraud that approach the task from a different perspective. The techniques for fighting fraud presented in chapters 8 and 9 use different graph construction methods to create networks based on the information available in the transactions themselves and/or the users’ accounts. In chapter 8, we created a graph connecting users with merchants by using transaction information, and we explored connecting nodes based on overlapping ...
Get Graph-Powered Machine Learning now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
