Accession Number:

ADA576314

Title:

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

Descriptive Note:

Technical rept. Jun-Sep 2012

Corporate Author:

MILITARY ACADEMY WEST POINT NY NETWORK SCIENCE CENTER (NSC)

Personal Author(s):

• Kewley, Lauren
• Evans, Daniel

Report Date:

2013-03-27

Pagination or Media Count:

22.0

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.

Descriptors:

• *NETWORKS
• *TIME SERIES ANALYSIS
• ALGORITHMS
• EIGENVECTORS
• IRAN

Subject Categories:

• Numerical Mathematics
• Computer Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE