A differentially private pipeline using node-level DP summaries to fit ERGMs or SBMs, generate synthetic networks, and simulate SIS disease spread on ARTNet sexual contact data produces incidence, prevalence, and intervention effect sizes close to non-private versions.
ergm 4: New Features for Analyzing Exponential-Family Random Graph Models
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iglm is an R package that implements scalable regression for outcomes under interference in connected populations using pseudo-likelihood optimization with theoretical guarantees.
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Differentially Private Modeling of Disease Transmission within Human Contact Networks
A differentially private pipeline using node-level DP summaries to fit ERGMs or SBMs, generate synthetic networks, and simulate SIS disease spread on ARTNet sexual contact data produces incidence, prevalence, and intervention effect sizes close to non-private versions.
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R Package iglm: Regression under Interference in Connected Populations
iglm is an R package that implements scalable regression for outcomes under interference in connected populations using pseudo-likelihood optimization with theoretical guarantees.