Table A4.
Centrality Bias Slope Regressions: Directed Networks.
| Variables | Model 1 Indegree | Model 2 Total Degree | Model 3 Bon. Power | Model 4 Closeness | Model 5 Betweeness |
|---|---|---|---|---|---|
| Intercept | −2.598*** | −2.476*** | −2.198*** | −2.973* | −2.652*** |
| (0.7) | (0.6) | (0.23) | (1.37) | (0.19) | |
| Correlation with Centrality | 0.309*** | 0.31*** | 0.411*** | 0.197*** | 0.202*** |
| (0.04) | (0.03) | (0.03) | (0.05) | (0.02) | |
| In-degree Std. Dev. | −0.356*** | −0.273*** | −0.138*** | −0.058 | −0.114*** |
| (0.06) | (0.06) | (0.02) | (0.13) | (0.02) | |
| Log of Size | 0.107 | 0.073 | −0.037 | 0.094 | 0.103** |
| (0.15) | (0.13) | (0.05) | (0.29) | (0.04) | |
| Asymmetric Imputation | 0.019 | −0.845 | −0.286 | −2.184*** | −0.822 |
| (0.2) | (0.57) | (0.35) | (0.57) | (0.44) | |
| Simple Model-Based Imputation | 0.448 | −0.506 | −0.868* | 0.723 | 0.466 |
| (0.57) | (0.92) | (0.44) | (1.97) | (0.42) | |
| Complex Model-Based Imputation | 0.544 | −0.483 | −0.491 | 0.938 | 0.556 |
| (0.5) | (0.81) | (0.34) | (2.15) | (0.45) | |
| Probabilistic Imputation | 0.145 | −0.915 | −0.286 | −0.909 | 0.046 |
| (0.24) | (0.51) | (0.34) | (2.26) | (0.35) | |
| Symmetric Imputation | 0.544 | −0.811 | −0.286 | 0.358 | 0.262 |
| (0.42) | (0.97) | (0.32) | (1.5) | (0.32) | |
| Correlation with Centrality* Asymmetric Imputation | 0.01 | −0.196*** | −0.193*** | −0.158* | 0.035 |
| (0.06) | (0.04) | (0.04) | (0.07) | (0.03) | |
| Correlation with Centrality* Simple Model-Based Imputation | −0.075 | −0.224*** | −0.286*** | −0.475*** | −0.098** |
| (0.06) | (0.04) | (0.04) | (0.07) | (0.03) | |
| Correlation with Centrality* Complex Model-Based Imputation | −0.077 | −0.215*** | −0.292*** | −0.431*** | −0.077* |
| (0.06) | (0.04) | (0.04) | (0.07) | (0.03) | |
| Correlation with Centrality* Probabilistic Imputation | −0.033 | −0.219*** | −0.193*** | −0.192** | 0.009 |
| (0.06) | (0.04) | (0.04) | (0.07) | (0.03) | |
| Correlation with Centrality* Symmetric Imputation | −0.064 | −0.284*** | −0.193*** | −0.32*** | −0.074* |
| (0.06) | (0.04) | (0.04) | (0.07) | (0.03) | |
| In-degree Std. Dev.* Asymmetric Imputation | 0.003 | 0.207*** | −0.046 | −0.055 | −0.102* |
| (0.02) | (0.05) | (0.03) | (0.05) | (0.04) | |
| In-degree Std. Dev.*Simple Model-Based Imputation | 0.168** | 0.229** | −0.069 | 0.108 | 0.088* |
| (0.05) | (0.09) | (0.04) | (0.18) | (0.04) | |
| In-degree Std. Dev.*Complex Model-Based Imputation | 0.154*** | 0.205** | −0.064* | 0.109 | 0.105* |
| (0.05) | (0.07) | (0.03) | (0.2) | (0.04) | |
| In-degree Std. Dev.* Probabilistic Imputation | 0.029 | 0.21*** | −0.046 | −0.041 | −0.017 |
| (0.02) | (0.05) | (0.03) | (0.21) | (0.03) | |
| In-degree Std. Dev.* Symmetric Imputation | 0.218*** | 0.318*** | −0.046 | 0.059 | 0.059* |
| (0.04) | (0.09) | (0.03) | (0.14) | (0.03) | |
| Log of Size* Asymmetric Imputation | −0.005 | −0.163 | −0.087 | 0.358** | 0.187* |
| (0.04) | (0.12) | (0.08) | (0.12) | (0.09) | |
| Log of Size *Simple Model-Based Imputation | −0.111 | −0.169 | 0.111 | −0.553 | −0.2* |
| (0.12) | (0.2) | (0.09) | (0.42) | (0.09) | |
| Log of Size* Complex Model-Based Imputation | −0.138 | −0.171 | 0.019 | −0.584 | −0.227* |
| (0.11) | (0.17) | (0.07) | (0.46) | (0.1) | |
| Log of Size * Probabilistic Imputation | −0.055 | −0.145 | −0.087 | 0.002 | −0.085 |
| (0.05) | (0.11) | (0.07) | (0.48) | (0.07) | |
| Log of Size* Symmetric Imputation | −0.175 | −0.201 | −0.087 | −0.359 | −0.163* |
| (0.09) | (0.21) | (0.07) | (0.32) | (0.07) | |
| N | 378 | 378 | 378 | 378 | 378 |
| Networks | 7 | 7 | 7 | 7 | 7 |
Note: The regression uses the betas slopes from each line as the dependent variable. The betas represent the expected drop in correlation (between the empirical and the observed) for a 10 % increase in the amount of missing data. Larger numbers mean larger bias with more missing data. The correlation with centrality takes four values: −.75, −.25, .25, and .75.