Research map / Learning theory and algorithms / Combinatorial and search optimization
Multistage Campaigning in Social Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| closed-loop dynamic programming instead of open-loop (OPL) | CLL · Synthetic CEM | exposure objective: 20 units | Helped |
| increase number of nodes | CLL · MemeTracker prediction accuracy | accuracy | Hurt |
| increase number of intervention points | CLL · MemeTracker prediction accuracy | accuracy | Helped |
| CLL vs PageRank/weighted-degree heuristics | CEM · MemeTracker | exposure: 2.5 | Helped |
| CLL vs water-filling and proportional heuristics | MEM · MemeTracker | min exposure | Helped |
| CLL vs greedy gap allocation (GRD) | LES · MemeTracker | squared gap | Mixed |
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