Martin Bouchard, Daniel Connelly
This talk develops a network-based approach to utilize data generated by law enforcement agencies during the investigation and attempted disruption of drug trafficking networks. We show how Social Network Analysis (SNA) can be used as a strategy to extract meaningful patterns in data generated through Transmission Data Records (TDR). The goal is to aid law enforcement agencies in future target prioritization and resource allocation by proposing a method that can be adapted and replicated elsewhere. In this report a social network built around two drug traffickers was examined and various types of targets for prioritization were identified – low-level brokers, potential replacements after law enforcement action, and potential higher-level suppliers. This technique therefore may assist law enforcement in strategic planning for target prioritization and impact. The next steps are to utilize this methodology on a more complex network, specifically with numerous interdependent targets and multiple TDR’s.
Biography:
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