MATH SEMINAR by Asha Rao

Tracing criminal ties and mining evidence from a large network to begin a crime case analysis has been difficult for criminal investigators due to large numbers of nodes and their complex relationships. I will first describe the crime of money laundering and why it is a problem for society. I will detail some of the work being done by the UN to tackle this crime. I will then talk about a specific research paper. In this paper, trust networks using blind carbon copy (BCC) emails were formed. My co-authors and I showed that our new shortest paths network search algorithm combining shortest paths and network centrality measures can isolate and identify criminals’ connections within a trust network. A group of BCC emails out of 1,887,305 Enron email transactions were isolated for this purpose. The algorithm uses two central nodes, most influential and middle man, to extract a shortest paths trust network.

Face to face

Lifelong Learning