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Reconstructing Parameters of Spreading Models from Partial Observations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use DMPrec instead of HTS for reconstructing transmission probabilities | SI spreading model on a small synthetic power-law network with hidden nodes · Synthetic power-law network | normalized reconstruction error | Helped |
| Use DMPrec instead of HTS for reconstructing transmission probabilities | SI spreading model on a small synthetic power-law network with hidden nodes · Synthetic power-law network | computation time: more than 24 hours; less than 10 minutes | Helped |
| Apply DMPrec with observations at every other time stamp rather than complete time observations | SI spreading model on a small synthetic power-law network · Synthetic power-law network, 50% of time stamps available | reconstruction agreement with ground truth | No clear effect |
| Use DMPrec to reconstruct parameters with partially hidden node observations | SI spreading model on the New England monastery relationship network · New England monastery network | reconstruction accuracy | Helped |
| Use DMPrec with partially hidden node observations | SI spreading model on the U.S. air transportation network · U.S. air transportation network | reconstruction agreement with ground truth | Mixed |
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