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A Dynamic Network Model to Explain the Development of Excellent Human Performance.

Ruud J R Den Hartigh1, Marijn W G Van Dijk1, Henderien W Steenbeek1

  • 1Department of Psychology, Faculty of Behavioural and Social Sciences, University of Groningen Groningen, Netherlands.

Frontiers in Psychology
|May 6, 2016
PubMed
Summary

The key to achieving excellence isn't just about individual factors like genetics or practice, but how these elements dynamically interact. This dynamic network model explains unique developmental paths and productivity patterns seen in high achievers.

Keywords:
complexitydynamic systemsexpertisegiftednessidiosyncratic patternssimulation modelsskewed distributionstalent development

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Area of Science:

  • Psychology
  • Human Performance Studies
  • Sociology

Background:

  • For over 150 years, nature vs. nurture debates have sought to explain the development of excellence.
  • Previous research focused on isolated components contributing to high achievement.
  • A gap exists in understanding the interactive processes underlying expert performance.

Purpose of the Study:

  • To propose a novel theoretical model for understanding human excellence.
  • To challenge the traditional view of excellence as a sum of parts.
  • To investigate the role of interacting components in achieving high performance.

Main Methods:

  • Developed a dynamic network model of human excellence.
  • Utilized computer simulations to test the model's predictions.
  • Compared model outputs with established literature on expert performance.

Main Results:

  • The dynamic network model accurately predicts idiosyncratic developmental trajectories.
  • The model explains highly skewed productivity distributions observed in achievement domains.
  • Demonstrated that interactions among components are crucial for emergent excellence.

Conclusions:

  • Excellence emerges from dynamic, interacting networks of components, not isolated factors.
  • This perspective offers new insights into the development of expertise.
  • Suggests policy implications and future research directions for fostering high performance.