Diffusion of Innovations in Dynamic Networks
Summary. This paper develops a statistical model that simultaneously tracks how social networks evolve and how innovations spread through them. The model treats network changes and adoption decisions as interdependent processes, using a proportional hazards framework. The authors test their approach on adolescent cannabis use patterns and validate it through simulations.
Cite this article
Greenan, C. C.. (2014). Diffusion of Innovations in Dynamic Networks. Journal of the Royal Statistical Society Series A (Statistics in Society). https://doi.org/10.1111/rssa.12054
Greenan, Charlotte C.. “Diffusion of Innovations in Dynamic Networks.” Journal of the Royal Statistical Society Series A (Statistics in Society), 2014. https://doi.org/10.1111/rssa.12054.
Greenan, Charlotte C.. 2014. “Diffusion of Innovations in Dynamic Networks.” Journal of the Royal Statistical Society Series A (Statistics in Society). https://doi.org/10.1111/rssa.12054.
@article{greenan-2014-diffusion-innovations-dynamic-networks,
title = {Diffusion of Innovations in Dynamic Networks},
author = {Charlotte C. Greenan},
journal = {Journal of the Royal Statistical Society Series A (Statistics in Society)},
year = {2014},
doi = {10.1111/rssa.12054},
url = {https://doi.org/10.1111/rssa.12054}
}
TY - JOUR TI - Diffusion of Innovations in Dynamic Networks AU - Charlotte C. Greenan JO - Journal of the Royal Statistical Society Series A (Statistics in Society) PY - 2014 DO - 10.1111/rssa.12054 UR - https://doi.org/10.1111/rssa.12054 ER -
Details
- DOI
- 10.1111/rssa.12054
- Countries
- United Kingdom
- Regions
- Europe
- Categories
- innovation-theory, innovation-networks, general-innovation
- Added
- 2026-04-28