Accession Number : AD1027593


Title :   Disrupting Cocaine Trafficking Networks: Interdicting a Combined Social-Functional Network Model


Descriptive Note : Technical Report


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA MONTEREY United States


Personal Author(s) : Santos,Christopher P


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1027593.pdf


Report Date : 01 Mar 2016


Pagination or Media Count : 109


Abstract : The U.S. military has supported U.S. law enforcement in counter drug-trafficking efforts since the1980s; the interagency counterdrug approach developed during that periodand still used todayfocuses primarily on interdiction of cocaine conveyances in transit from South America to Central America. Increasing violence in the countries through which the cocaine transits is evidence that this approach is not working. Furthermore, the U.S. rebalance toward Asia and a worsening shortfall of interdiction assets signal a new strategic and operational environment that requires a counter threat network (CTN) approach. Instead of simply attacking a functional trafficking network, as does an interdiction-focused strategy, we combine traditional Operations Research (OR) maximum flow and attacker-defender problems with social network analysis to directly interdict the traffickers social-management network (and the resources it provides) in order to obtain indirectyet potentially more effectivedisruptions of the functional network. The Drug Trafficking Organization Social-Functional Network Interdiction (DTOSFNI) model described herein can be used to provide insight in order to combat the numerous trafficking organizations in a coherent mannerrather than relying upon independent, often isolated, investigationsand inform development of the Organized Crime Drug Enforcement Task Forces (OCDETF) Consolidated Priority Organization Target (CPOT) list and its associated investigations.


Descriptors :   drug trafficking , drug interdiction , operations research


Distribution Statement : APPROVED FOR PUBLIC RELEASE