A differentially private generative model, C-AGM, synthesizes attributed social graphs that preserve community structure, degree distributions, and clustering coefficients better than prior private graph models.
Differentially private data analysis of social networks via restricted sensitivity
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Publishing Community-Preserving Attributed Social Graphs with a Differential Privacy Guarantee
A differentially private generative model, C-AGM, synthesizes attributed social graphs that preserve community structure, degree distributions, and clustering coefficients better than prior private graph models.