Research map / Image generation / Fast diffusion sampling
Multi-Winner Contests for Strategic Diffusion in Social Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Increase contest noise from zero to a moderate level (ablation) | MWC · Twitter, Flickr, Flixster, and Digg | total task efforts | Helped |
| Use a medium contest noise factor rather than an extreme value (ablation) | MWC · Twitter, Flickr, Flixster, and Digg | total task efforts: 0.45 and 0.65 | Mixed |
| Set contest noise to zero (ablation) | MWC · Twitter, Flickr, Flixster, and Digg | total task efforts: ≤ 2,000 | Hurt |
| Increase contest noise beyond the effort-maximizing level (ablation) | MWC · Twitter, Flickr, Flixster, and Digg | total task efforts | Hurt |
| Create additional false identities and split task efforts among them (ablation) | MWC · Twitter, Flickr, Flixster, and Digg | player rewards | Hurt |
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