Abstract
Effective link analysis techniques are needed to help law enforcement and intelligence agencies fight money laundering. This paper presents a link analysis technique that uses a modified shortest-path algorithms to identify the strongest association paths between entities in a money laundering network. Based on two-tree Dijkstra and Priority-First-Search (PFS) algorithm, a modified algorithm is presented. To apply the algorithm, a network representation transformation is made first.
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