Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performance

2005/04/28 by Roger Guimerà, Brian Uzzi, Jarrett Spiro +1 · 1 voice · 18 citations
Computer Science · Engineering · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Computer science #Distributed computing #Engineering #Evolutionary Game Theory and Cooperation #Knowledge management #Network structure #Open Source Software Innovations #Phase (matter) #Team composition #Work (physics)

paper · doi:10.1126/science.1106340

openalex publication_date 2005/04/28 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

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.

Citations

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• Evolution of the social network of scientific collaborations
• The Structure and Function of Complex Networks
• Psychological Safety and Learning Behavior in Work Teams
• Emergence of scaling in random networks
• The simultaneous evolution of author and paper networks
• Statistical mechanics of complex networks

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Discussions

• Incumbents, creating new ties and cooperations among them increase success and performance of teams. Guimera, R. “Team Assembly Mechanisms Determine Collaboration Network Structure and Team Performanc [bsky, 0 points, 0 comments]