MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES

Interfacing Network Simulations and Empirical Data

May-2009

54 pages

Authors: Ian McCulloh; Joshua Lospinoso; Anthony Johnson; MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES

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This project tests Social Network Models for longitudinal data against empirical data using an original statistical test to determine the effectiveness of various models at reproducing networks. The Link Probability Model (LPM) is introduced as a viable model for the reproduction of social networks in dynamic equilibrium. We survey social network simulation packages and find that Construct uses a continually updated LPM as its stochastic engine, further establishing the LPM's ...

IkeNet: Social Network Analysis of E-mail Traffic in the Eisenhower Leadership Development Program

NOV 2007

51 pages

Authors: Ian McCulloh; Grace Garcia; Kelsey Tardieu; Jennifer MacGibbon; Heather Dye; Kerry Moores; John Graham; Daniel B. Horn; MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES

Social network analysis (SNA) has become an important analytic tool for analyzing terrorist networks, friendly command and control structures, and a wide variety of other applications. In this project we collect social network data from a group of 24 Army officers in a one-year graduate program at Columbia University. In this report we discuss methodological issues associated with collecting e-mail social networks and include source code for an add-in to ...

A New Software Tool that Optimizes Dynamic Decision Making

01-Jun-2007

33 pages

Authors: Gerald C Kobylski; Jong H Chung; Dennis M Buede; Gary R Smith; MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES

Outline: *Introduction *Dynamic Decision Network (DDN) overview *A simplified example *A complex example *Software implementation *Software challenges and insights *Future research

A Methodology for Simulating Net-Centric Technologies: An Operations Research Approach

JUN 2007

21 pages

Authors: Joshua Lospinoso; MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES

Captured enemy documents, also known as `CED', are vitally important to today's Army. With the capability to fill vital intelligence requirements, CED help Army units accomplish their missions and corroborate enemy prisoner of war interrogations. The language instant screening tool "LIST" technology being produced at the United States Military Academy provides a net-centric solution to expedite Army doctrine as outlined in FM 34-52. When modeling CED reporting procedures from FM ...

Social Network Monitoring of Al-Qaeda

Jan-2007

11 pages

Authors: Kathleen Carley; Ian McCulloh; Matthew Webb; MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES

Social network monitoring is the application of statistical process control charts to changing social network measures over time. Quality engineers use control charts to detect slight changes in industrial manufacturing processes. Once detected, the quality engineer will identify a maximum likely change point, when the process began to change, and search for the specific cause of the change. These tools allow quality engineers to quickly identify changes before they cause ...

Text Analysis Using Automated Language Translators

Nov-2006

12 pages

Authors: Ian McCulloh; John Stanford; MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES

Text analysis is a new tool with many interesting possibilities for intelligence-gathering. Software being developed by Carnegie Mellon University can output a mental model of a text with the top six concepts in that text. This can be used to automatically analyze thousands of texts to search for keywords, find trends over time, or compare two different geographic areas. The problem is that most of the texts that intelligence analysts ...

Computer Simulation of Decontamination Operations

30 SEP 2005

19 pages

Authors: Ian A. McCulloh; MILITARY ACADEMY WEST POINT NY DEPT OF MATHEMATICAL SCIENCES

OUTLINE: (1) Objective problem; (2) Why simulation? (3) System specification; (4) Experiment and analysis; (5) MA206 probability and statistics; (6) Sensitive equipment decontamination; (7) Conclusions.