Diffusion of innovations in social networks
Summary. This paper examines how innovations spread through social networks using the linear threshold model, where individuals adopt innovations only after exposure from multiple neighbors. The authors find that innovations spread further in networks with lower clustering, contradicting existing literature. They provide analytical evidence and simulations supporting this claim, and extend the model to account for path dependence, showing how small shocks can significantly alter diffusion outcomes.
Cite this article
Acemoğlu, D., Ozdaglar, A., & Yildiz, E.. (2011). Diffusion of innovations in social networks. https://doi.org/10.1109/cdc.2011.6160999
Acemoğlu, Daron, et al. “Diffusion of innovations in social networks.” 2011. https://doi.org/10.1109/cdc.2011.6160999.
Acemoğlu, Daron, Asuman Ozdaglar, and Ercan Yildiz. 2011. “Diffusion of innovations in social networks.” https://doi.org/10.1109/cdc.2011.6160999.
@article{acemo-lu-2011-diffusion-innovations-social-networks,
title = {Diffusion of innovations in social networks},
author = {Daron Acemoğlu and Asuman Ozdaglar and Ercan Yildiz},
year = {2011},
doi = {10.1109/cdc.2011.6160999},
url = {https://doi.org/10.1109/cdc.2011.6160999}
}
TY - JOUR TI - Diffusion of innovations in social networks AU - Daron Acemoğlu AU - Asuman Ozdaglar AU - Ercan Yildiz PY - 2011 DO - 10.1109/cdc.2011.6160999 UR - https://doi.org/10.1109/cdc.2011.6160999 ER -
Details
- DOI
- 10.1109/cdc.2011.6160999
- Countries
- United States, Switzerland
- Regions
- North America, Europe
- Categories
- innovation-theory, innovation-networks, general-innovation
- Added
- 2026-04-28