GRANDPA: GeneRAtive network sampling using degree and property augmentation applied to the analysis of partially confidential healthcare networks

Protecting medical privacy can create obstacles in the analysis and distribution of healthcare graphs and statistical inferences accompanying them. We pose a graph simulation model which generates networks using degree and property augmentation and provide a flexible R package that allows users to c...

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Detalles Bibliográficos
Autores principales: Bobak, Carly A., Zhao, Yifan, Levy, Joshua J., O’Malley, A. James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173245/
https://www.ncbi.nlm.nih.gov/pubmed/37188323
http://dx.doi.org/10.1007/s41109-023-00548-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173245/
https://www.ncbi.nlm.nih.gov/pubmed/37188323
http://dx.doi.org/10.1007/s41109-023-00548-5

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