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

Research output: Contribution to journalArticleAcademicpeer-review

24 Citations (Scopus)
644 Downloads (Pure)

Abstract

Across different domains, from sports to science, some individuals accomplish excellent levels of performance. For over 150 years, researchers have debated the roles of specific nature and nurture components to develop excellence. In this article, we argue that the key to excellence does not reside in specific underlying components, but rather in the ongoing interactions among the components. We propose that excellence emerges out of dynamic networks consisting of idiosyncratic mixtures of interacting components such as genetic endowment, motivation, practice, and coaching. Using computer simulations we demonstrate that the dynamic network model accurately predicts typical properties of excellence reported in the literature, such as the idiosyncratic developmental trajectories leading to excellence and the highly skewed distributions of productivity present in virtually any achievement domain. Based on this novel theoretical perspective on excellent human performance, this article concludes by suggesting policy implications and directions for future research.
Original languageEnglish
Article number532
Number of pages20
JournalFrontiers in Psychology
Volume7
DOIs
Publication statusPublished - 20-Apr-2016

Keywords

  • Talent
  • Giftedness
  • Creativity
  • Complexity
  • Dynamic Systems
  • Simulation model
  • EXPERT PERFORMANCE
  • RESEARCH OUTPUT
  • DELIBERATE PRACTICE
  • TALENT DEVELOPMENT
  • BIBLIOMETRIC DISTRIBUTIONS
  • CREATIVE PRODUCTIVITY
  • STATISTICAL-ANALYSIS
  • SELECTIVE RETENTION
  • EMPIRICAL-EVIDENCE
  • SOCIAL-PSYCHOLOGY

Cite this