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NCJ Number: 92734 Add to Shopping cart Find in a Library
Title: Generalized Network Model of the Criminal Justice System User's Guide
Author(s): J E Richards; S J Deutsch
Corporate Author: Georgia Institute of Technology
School of Industrial and Systems Engineering
United States of America
Date Published: Unknown
Page Count: 77
Sponsoring Agency: Georgia Institute of Technology
Atlanta, GA 30332
National Institute of Justice/
Rockville, MD 20849
NCJRS Photocopy Services
Rockville, MD 20849-6000
US Dept of Justice

US Dept of Justice NIJ Pub
Washington, DC 20531
Grant Number: 78 NI-AX-0003
Sale Source: National Institute of Justice/
NCJRS paper reproduction
Box 6000, Dept F
Rockville, MD 20849
United States of America

NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America
Language: English
Country: United States of America
Annotation: A stochastic network model which simulates the criminal careers of individual offenders uses the Generalized Network Simulator (GNS) to track offenders from their first arrest through each subsequent arrest and processing by the criminal justice system.
Abstract: This tracking continues until the offender's death or cessation of involvement in the criminal justice system. The criminal justice system is modeled with resource constraints which impose delays on the processing of offenders. Annual time series data used in the model include the costs of operating the system, delay times in processing offenders, and several statistics on the offenders and their criminal careers. These data serve as excellent measures of performance for experimental analysis. Other collected statistics and their distributions aid in the empirical evaluation of the model structure and offender flows. This report describes and gives examples of the model's input, displays representative outputs from running the model, and lists the subroutines which are specially adapted to the simulation of criminals. Three references are listed. (Author summary modified)
Index Term(s): Computer program models; Computer simulation; Criminal histories; Modeling techniques
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