Propagation of innovations in networked groups.
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.
Cite this article
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
Mason, Winter, et al. “Propagation of innovations in networked groups.” Journal of Experimental Psychology General, 2008. https://doi.org/10.1037/a0012798.
Mason, Winter, Andy Jones, and Robert L. Goldstone. 2008. “Propagation of innovations in networked groups.” Journal of Experimental Psychology General. https://doi.org/10.1037/a0012798.
@article{mason-2008-propagation-innovations-networked-groups,
title = {Propagation of innovations in networked groups.},
author = {Winter Mason and Andy Jones and Robert L. Goldstone},
journal = {Journal of Experimental Psychology General},
year = {2008},
doi = {10.1037/a0012798},
url = {https://doi.org/10.1037/a0012798}
}
TY - JOUR TI - Propagation of innovations in networked groups. AU - Winter Mason AU - Andy Jones AU - Robert L. Goldstone JO - Journal of Experimental Psychology General PY - 2008 DO - 10.1037/a0012798 UR - https://doi.org/10.1037/a0012798 ER -
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