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Cited by 1,126Complex Network Analysis Techniquesscientometrics and bibliometrics researchComplex Systems and Time Series Analysis

Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance

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Guimerà, Roger, Uzzi, Brian, Spiro, Jarrett, Amaral, Luís A. Nunes·2005·Science
DOI 10.1126/science.1106340PMC PMC2128751
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Abstract

Agents in creative enterprises are embedded in networks that inspire, support, and evaluate their work. Here, we investigate how the mechanisms by which creative teams self-assemble determine the structure of these collaboration networks. We propose a model for the self-assembly of creative teams that has its basis in three parameters: team size, the fraction of newcomers in new productions, and the tendency of incumbents to repeat previous collaborations. The model suggests that the emergence of a large connected community of practitioners can be described as a phase transition. We find that team assembly mechanisms determine both the structure of the collaboration network and team performance for teams derived from both artistic and scientific fields.

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Authors
Guimerà, R., Uzzi, B., Spiro, J., & Amaral, L. A. N.
Affiliations
  • Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA.
  • Northwestern University (US)
Corresponding author
Uzzi, Brian
ORCID
Uzzi, Brian
Venue
Science
Publisher
American Association for the Advancement of Science (AAAS)
Published
2005-04-29
Volume
308
Issue
5722
Pages
697-702
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
DOI
10.1126/science.1106340
PMC
PMC2128751
OpenAlex
W2150443611
Cited by
1,126
References
2
Citations by year
2026: 23 · 2025: 39 · 2024: 37 · 2023: 53 · 2022: 51 · 2021: 62 · 2020: 66 · 2019: 66 · 2018: 58 · 2017: 76 · 2016: 73 · 2015: 68 · 2014: 61 · 2013: 53 · 2012: 61
FWCI
24.13
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of General Medical Sciences (K25GM069546)
Topics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
Keywords
collaboration networks, creative teams, team performance, network structure, phase transitions, team size, scientific teams
MeSH terms
Astronomy, Behavior, Cooperative Behavior, Creativity, Drama, Ecology, Economics, Humans, Music, Psychology, Social, Publishing, Research, Models, Organizational, Astronomical Phenomena

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