Time Series Analysis of Networks: Evaluating the Effectiveness of Sanctions on Iran

Abstract

The team developed a time series analysis method to examine how a network changes over time. Provided time-stamped data is available, a timeline of a network s structure can be built and analyzed using node and network centrality measures. A set of sample data is used to illustrate that analyzing the effectiveness of past sanctions on the Iranian nuclear program can be leveraged to develop more effective sanctions in the future.

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Document Details

Document Type
Technical Report
Publication Date
Mar 27, 2013
Accession Number
ADA576314

Entities

People

  • Daniel Evans
  • Lauren Kewley

Organizations

  • United States Military Academy

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Ballistic Missiles
  • Computer Viruses
  • Computers
  • Data Sets
  • Department Of Defense
  • Eigenvectors
  • Intermediate Range Ballistic Missiles
  • Military Research
  • Network Science
  • Nuclear Fuels
  • Procurement
  • Theater Ballistic Missiles
  • Time Series Analysis
  • Two Dimensional
  • United States
  • United States Military Academy
  • Visual Inspection

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.
  • Systems Analysis and Design