A Typology for C2 Measures

Abstract

Numerous measures of the C2 structure have been developed. The goal is to develop a small, meaningful, and predictive set. Work in this area, however, has been hampered by a lack of a standard categorization schema. Such a schema is presented herein. This schema is based on the recognition that many aspects of C2 structures can be represented as graphs. The proposed typology enables graph-theoretic based measures of C2 structures to be contrasted and analyzed in a systematic fashion. Results indicate a dearth of measures that link more than one submatrix. Attempts at predicting the performance of organizations based on a single sub-matrix typically fail. Predictions, such as those herein, that are based on multiple sub-matrices at once fare better. Using this typology, the authors defined the C2 structure of three teams, examined in a laboratory setting. Use of the typology as a representation scheme enabled the three teams to be simulated. These simulations suggested that the reason for differences in performance had to do with the relative ability of information about what others are doing, versus what resources are needed for what through the structure defined by multiple sub-matrices.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA458997

Entities

People

  • David Krackhardt
  • Kathleen Carley

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • California
  • Command And Control
  • Computer Simulations
  • Computers
  • Diffusion
  • Networks
  • Organization Theory
  • Organizational Structure
  • Schools
  • Simulations
  • Social Networks
  • Standards
  • Task Forces
  • Taxonomy
  • United States
  • Universities

Readers

  • Computational Modeling and Simulation
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.