Boundary degree as a per-node feature improves epidemic scenario identification accuracy by 19% on realistic contact networks from Tennessee and Virginia.
EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks
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Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations
Boundary degree as a per-node feature improves epidemic scenario identification accuracy by 19% on realistic contact networks from Tennessee and Virginia.