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Accession Number ADA582400
Title Learning Networks: Iran and the Effects of Sanctions.
Publication Date Mar 2013
Media Count 15p
Personal Author D. Evans L. Boguchwal L. Kewley M. Johnson
Abstract Iranian government, financial, and business entities are adapting to, and learning from, each new round of international sanctions. When a sanction is imposed, agents and organizations, predictably, develop creative methods to bypass it in order to continue the pursuit of nuclear weapons production. Based on this scenario, can we quantitatively model the evolution and learning of this Iranian Network. This was the question posed to three summer apprentices at the Network Science Center over the course of their internship during the summer of 2012. Based on team discussions, the group developed three possible methods to formulate and analyze this issue. These network-based techniques are introduced: standard network analysis, time series analysis, and network flows. This paper synthesizes and summarizes our research efforts.
Keywords Businesses
Economic sanctions
Financial institutions

Source Agency Non Paid ADAS
NTIS Subject Category 96 - Business & Economics
49 - Electrotechnology
92 - Behavior & Society
Corporate Author Military Academy, West Point, NY. Network Science Center (NSC).
Document Type Technical report
Title Note Technical rept. May-Sep 2012.
NTIS Issue Number 1326
Contract Number N/A

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