Table 2 Impact of user features on the number of times a user is named as an influential user by other users in the simulation.
From: Using impression data to improve models of online social influence
Dependent variable: expressed influence | ||
|---|---|---|
Quasi-Poisson | Gamma-Poisson (NB) | |
Issued posts | − 0.012 | − 0.009 |
(0.011) | (0.015) | |
Issued comments | 0.012\(^{*}\) | 0.012 |
(0.006) | (0.009) | |
Issued likes | 0.008 | 0.0003 |
(0.007) | (0.010) | |
Received views | 0.0002\(^{***}\) | 0.0003\(^{***}\) |
(0.00003) | (0.00004) | |
Constant | 0.007 | \(-\,0.554^{**}\) |
(0.257) | (0.275) | |
Observations | 82 | 82 |
