From: Modeling and maximizing influence diffusion in social networks for viral marketing
Dataset | Measure | Algorithm | ||
---|---|---|---|---|
DEGREE | Top-K | IV-Greedy | ||
PGP | 95% CI | 1666.3 ± 6.2 | 2139.3 ± 6.7 | 2251.7 ± 7.0 |
p-value | 0 | 3.4e-103 | ||
NetHEPT | 95% CI | 1339.8 ± 5.7 | 1390.6 ± 5.4 | 1539.7 ± 6.4 |
p-value | 0 | 5.0e-207 | ||
WikiVote | 95% CI | 2175.4 ± 6.6 | 2323.6 ± 6.6 | 2361.6 ± 6.7 |
p-value | 1.5e-246 | 3.4e-15 | ||
C.elegans | 95% CI | 180.7 ± 0.7 | 193.9 ± 0.8 | 200.3 ± 0.8 |
p-value | 1.4e-215 | 2.3e-26 |