Accession Number:

ADA488527

Title:

Detecting Change in Human Social Behavior Simulation

Descriptive Note:

Technical rept.

Corporate Author:

CARNEGIE-MELLON UNIV PITTSBURGH PA INST OF SOFTWARE RESEARCH INTERNAT

Personal Author(s):

Report Date:

2008-08-19

Pagination or Media Count:

30.0

Abstract:

The performance of social network change detection SNCD is evaluated using a multi-agent simulation of company level U.S Army Infantry organizations. Agent interaction is probabilistic, with increased likelihood of communication based on similarity in skills, role, sub-unit of assignment, military rank, and general personality homophily. Various social network measures are monitored for change over time with a Cumulative Sum CUSUM control chart, an Exponentially Weighted Moving Average EWMA, a scan statistic, and a Hamming Distance. Findings show that the average betweenness, the average closeness, and the standard deviation of eigenvector centrality are social network measures that are well-suited for SNCD. This research further supports the efficacy of SNCD using statistical process control charts.

Subject Categories:

  • Sociology and Law
  • Computer Programming and Software
  • Administration and Management

Distribution Statement:

APPROVED FOR PUBLIC RELEASE