We adopt Leader Rank, a node-ranking algorithm closely related to net- work topology, to find the leader. We extract from the network the subgraph connected by known suspicious topics. Because of its robustness against random noise, Leader Rank is appropriate for addressing criminal network problems, which usually suffer from incompleteness and incorrectness.