Understanding the onset of hot streaks across artistic, cultural, and scientific careers

Abstract

Across a range of creative domains, individual careers are characterized by hot streaks, which are bursts of high-impact works clustered together in close succession. Yet it remains unclear if there are any regularities underlying the beginning of hot streaks. Here, we analyze career histories of artists, film directors, and scientists, and develop deep learning and network science methods to build high-dimensional representations of their creative outputs. We find that across all three domains, individuals tend to explore diverse styles or topics before their hot streak, but become notably more focused after the hot streak begins. Crucially, hot streaks appear to be associated with neither exploration nor exploitation behavior in isolation, but a particular sequence of exploration followed by exploitation, where the transition from exploration to exploitation closely traces the onset of a hot streak. Overall, these results may have implications for identifying and nurturing talents across a wide range of creative domains.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 13, 2021
Source ID
10.1038/s41467-021-25477-8

Entities

People

  • C. Lee Giles
  • Dashun Wang
  • Jillian Chown
  • Lu Liu
  • Nima Dehmamy

Organizations

  • Air Force Office of Scientific Research

Tags

Readers

  • Combustion Dynamics and Shock Wave Physics.
  • Military History of the United States in the 20th Century.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks