Jove
Visualize
Contact Us

Related Experiment Videos

Team assembly mechanisms determine collaboration network structure and team performance.

Roger Guimerà1, Brian Uzzi, Jarrett Spiro

  • 1Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA.

Science (New York, N.Y.)
|April 30, 2005
PubMed
Summary

Creative team assembly mechanisms shape collaboration networks and performance. How teams form influences the structure of creative communities and their success in both arts and sciences.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Progression without progress.

Science (New York, N.Y.)·2026
Same author

A digital archive reveals how a funding agency cooperated with academics to support the nascent field of genomics.

Nature communications·2026
Same author

The institutional dynamics of inequality for women inventors who break with conventional thinking.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Bayesian symbolic regression: automated equation discovery from a physicist's perspective.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same author

How the 2025 NIH grant terminations varied by researchers' demographic groups.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

ChemEmbed: a deep learning framework for metabolite identification using enhanced MS/MS data and multidimensional molecular embeddings.

Briefings in bioinformatics·2026
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Area of Science:

  • Social Sciences
  • Network Science
  • Creative Industries

Background:

  • Creative professionals operate within complex networks that foster inspiration, support, and evaluation.
  • Understanding how these collaboration networks form is crucial for analyzing creative enterprises.

Purpose of the Study:

  • To investigate the relationship between creative team self-assembly mechanisms and the resulting collaboration network structures.
  • To model the process of creative team formation and its impact on network dynamics.

Main Methods:

  • Development of a computational model for creative team self-assembly.
  • Inclusion of key parameters: team size, newcomer fraction, and incumbent collaboration tendency.
  • Analysis of network structures and team performance metrics.

Related Experiment Videos

Main Results:

  • The model demonstrates that team assembly mechanisms dictate collaboration network topology.
  • The emergence of large, interconnected creative communities can be characterized as a phase transition.
  • A direct link was found between team assembly strategies, network structure, and team performance.

Conclusions:

  • Team self-assembly processes are fundamental drivers of creative collaboration network architecture.
  • These findings apply across diverse creative fields, including artistic and scientific domains.
  • Optimizing team formation strategies can enhance both network structure and overall performance.