Accession Number:

ADA582400

Title:

Learning Networks: Iran and the Effects of Sanctions

Descriptive Note:

Technical rept. May-Sep 2012

Corporate Author:

MILITARY ACADEMY WEST POINT NY NETWORK SCIENCE CENTER (NSC)

Personal Author(s):

• Boguchwal, Louis
• Johnson, Marc
• Kewley, Lauren
• Evans, Daniel

Report Date:

2013-03-27

Pagination or Media Count:

15.0

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.

Descriptors:

• *ECONOMIC SANCTIONS
• *IRAN
• *LEARNING
• *NETWORKS

Subject Categories:

• Economics and Cost Analysis
• Psychology
• Geography
• Electrical and Electronic Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE