Developing an Effective Plan for Smart Sanctions: A Network Analysis Approach

Abstract

In this project, we apply develop a set of data and a network model that realistically simulates the Iranian nuclear development program. We then utilize several network analysis techniques including Node Classification, Centrality Distribution, and a Score boarding technique in order to evaluate this data set. These techniques are potentially a quantitative method to better evaluate the effectiveness of existing or, additional imposition of, sanctions in order to hinder the progress of Iran s nuclear program.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2012
Accession Number
ADA569547

Entities

People

  • Daniel Evans
  • Lauren Kewley
  • Marc A. Johnson

Organizations

  • United States Military Academy

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Aerospace Industry
  • Air Force
  • Algorithms
  • Ballistic Missiles
  • Classification
  • Data Analysis
  • Data Sets
  • Department Of Defense
  • Electronics Industry
  • Intermediate Range Ballistic Missiles
  • Military Research
  • Network Science
  • Social Networks
  • Theater Ballistic Missiles
  • United States
  • United States Military Academy
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.
  • Nuclear Non-Proliferation and International Security