System Dynamics Modeling with R

  • Jim Duggan

Part of the Lecture Notes in Social Networks book series (LNSN)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Jim Duggan
    Pages 1-24
  3. Jim Duggan
    Pages 25-47
  4. Jim Duggan
    Pages 49-71
  5. Jim Duggan
    Pages 73-96
  6. Jim Duggan
    Pages 97-121
  7. Jim Duggan
    Pages 123-144
  8. Jim Duggan
    Pages 145-165
  9. Back Matter
    Pages 167-176

About this book


This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the feedback perspective of complex systems, the book provides a practical introduction to system dynamics, and covers key concepts such as stocks, flows, and feedback. Societal challenges such as predicting the impact of an emerging infectious disease, estimating population growth, and assessing the capacity of health services to cope with demographic change can all benefit from the application of computer simulation. This text explains important building blocks of the system dynamics approach, including material delays, stock management heuristics, and how to model effects between different systemic elements. Models from epidemiology, health systems, and economics are presented to illuminate important ideas, and the R programming language is used to provide an open-source and interoperable way to build system dynamics models. System Dynamics Modeling with R also describes hands-on techniques that can enhance client confidence in system dynamic models, including model testing, model analysis, and calibration. Developed from the author’s course in system dynamics, this book is written for undergraduate and postgraduate students of management, operations research, computer science, and applied mathematics. Its focus is on the fundamental building blocks of system dynamics models, and its choice of R as a modeling language make it an ideal reference text for those wishing to integrate system dynamics modeling with related data analytic methods and techniques.


Complex Systems Modeling using R Diffusion Models in R Numerical Methods for Social Systems R Programming for Simulation and Model Analysis SIR Diffusion Modeling Simulation of Social Systems Social Feedback Dynamics Methods System Dynamics for Health Policy Analysis

Authors and affiliations

  • Jim Duggan
    • 1
  1. 1.National University of IrelandGalwayIreland

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-34041-8
  • Online ISBN 978-3-319-34043-2
  • Series Print ISSN 2190-5428
  • Series Online ISSN 2190-5436
  • Buy this book on publisher's site