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Propagation of innovations in networked groups.

Winter Mason, Andy Jones, Robert L. Goldstone · 2008 · Journal of Experimental Psychology General

Summary. This paper examines how network structure affects groups' ability to discover and share solutions. Researchers created laboratory groups where participants made guesses and shared scores with network neighbors. Results show groups converge on similar solutions even when alternatives exist. The optimal network structure depends on the problem: clustered networks excel at broad exploration, while highly connected networks work better for focused problems.

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Mason, W., Jones, A., & Goldstone, R. L.. (2008). Propagation of innovations in networked groups. Journal of Experimental Psychology General. https://doi.org/10.1037/a0012798

Details

DOI
10.1037/a0012798
Countries
United Kingdom, United States
Regions
Europe, North America
Categories
innovation-networks, innovation-theory, general-innovation
Added
2026-04-28