Cargando…
Can longitudinal generalized estimating equation models distinguish network influence and homophily? An agent-based modeling approach to measurement characteristics
BACKGROUND: Connected individuals (or nodes) in a network are more likely to be similar than two randomly selected nodes due to homophily and/or network influence. Distinguishing between these two influences is an important goal in network analysis, and generalized estimating equation (GEE) analyses...
Autores principales: | Sauser Zachrison, Kori, Iwashyna, Theodore J., Gebremariam, Achamyeleh, Hutchins, Meghan, Lee, Joyce M |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192582/ https://www.ncbi.nlm.nih.gov/pubmed/28031023 http://dx.doi.org/10.1186/s12874-016-0274-4 |
Ejemplares similares
-
The Evolution of Homophily
por: Fu, Feng, et al.
Publicado: (2012) -
Modeling homophily in dynamic networks with application to HIV molecular surveillance
por: DeGruttola, Victor, et al.
Publicado: (2023) -
Evolutionary Dynamics of Homophily and Heterophily
por: Ramazi, Pouria, et al.
Publicado: (2016) -
Penalized homophily latent space models for directed scale-free networks
por: Yang, Hanxuan, et al.
Publicado: (2021) -
Homophily and missing links in citation networks
por: Ciotti, Valerio, et al.
Publicado: (2016)