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Measuring the change in behavior of a system with a single metric

Author

Listed:
  • William Schoenberg
  • Robert Eberlein
  • Pål Davidsen

Abstract

Loops that Matter (LTM) provides a practical and comprehensive way to understand which feedback loops are driving model behavior at different points in time. LTM describes from which loops the observed change in behavior across all stocks in the model originate. In this paper we present a method to measure the magnitude of the change in behavior of all stocks in the model based on net flow values, relative to the magnitude of change taking place across an entire observation (simulation) period. We call this new metric the “system change”. We then demonstrate how our system change metric can be visualized using loop scores to highlight those loops that are predominantly responsible for the changes in behavior exhibited by the model. This helps analysts focus in on the feedback loops that are prime candidates for interventions to change the model behavior. © 2023 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.

Suggested Citation

  • William Schoenberg & Robert Eberlein & Pål Davidsen, 2024. "Measuring the change in behavior of a system with a single metric," System Dynamics Review, System Dynamics Society, vol. 40(1), January.
    • Handle: RePEc:bla:sysdyn:v:40:y:2024:i:1:n:e1754
    DOI: 10.1002/sdr.1754
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    References listed on IDEAS

    as
    1. William Schoenberg & John Hayward & Robert Eberlein, 2023. "Improving Loops that Matter," System Dynamics Review, System Dynamics Society, vol. 39(2), pages 140-151, April.
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