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The military and law enforcement entities have similar problems in analyzing data from distributed sources, drawn from a wide geographic area. Key problems they share include: identifying the existence ofnetworked adversaries from distributed data; developing strategic attacks that will effective across the adversary’s network; and analyzing key vulnerabilities in these networks, such as resource availability and effective visualization. Often, law enforcement jurisdictions are too small to encompass geographically-dispersed criminal networks. Therefore, lone agencies cannot identify criminal networks, nor conduct strategic attacks on criminal networks affecting their jurisdictions. Such attacks would require data sets from many jurisdictions and agencies to provide adequate data representative of criminal networks. This research project tests the applicability of dynamic network analysis theories to identify, across jurisdictions, criminal networks (i.e., drug trafficking, and specifically, marijuana trafficking networks) and their vulnerabilities. The specific focus is on marijuana and other drug trafficking networks, and the identification of strategic interventions.