Model-based fraud detection in growing networks

Model-based fraud detection in growing networks

This notebook illustrates the dynamics of a model that captures the average behavior of regular users. Based on the asymptotic behavior of the local clustering, our paper proposes an algorithms that evaluates the degree of membership of each user to well-defined communities, as well as to close-knit groups. The video below shows how communities are formed.

 

 

Under the assumption that fraudsters engage in deceptive transactions in a way that resembles random link attacks, the resulting dynamics are shown below.