Table A4.
Ego Network Configuration Model | Degree Model | Homophily Model | |||||||
---|---|---|---|---|---|---|---|---|---|
Net ID |
True Value |
Mean Estimate |
SEa | Biasb | Relative Biasc |
Biasb | Relative Biasc |
Biasb | Relative Biasc |
1 | .348 | .380 | .049 | .032 | .091 | .224 | .643 | .195 | .562 |
2 | .801 | .851 | .024 | .049 | .061 | .078 | .098 | .068 | .085 |
3 | .564 | .649 | .041 | .085 | .150 | .230 | .408 | .196 | .347 |
4 | .464 | .526 | .049 | .062 | .133 | .340 | .732 | .244 | .526 |
5 | .926 | .932 | .020 | .006 | .006 | .047 | .050 | .040 | .043 |
6 | .233 | .267 | .034 | .034 | .146 | .381 | 1.639 | .227 | .975 |
7 | .775 | .844 | .029 | .069 | .090 | .140 | .181 | .134 | .173 |
8 | .882 | .924 | .015 | .042 | .048 | .063 | .072 | .065 | .074 |
9 | .565 | .640 | .038 | .075 | .133 | .265 | .469 | .242 | .428 |
10 | .687 | .746 | .035 | .058 | .085 | .221 | .321 | .174 | .253 |
11 | .610 | .691 | .037 | .081 | .133 | .206 | .338 | .180 | .294 |
12 | .763 | .812 | .022 | .049 | .065 | .108 | .142 | .101 | .133 |
13 | .800 | .859 | .024 | .059 | .074 | .139 | .173 | .123 | .154 |
14 | .420 | .492 | .044 | .072 | .171 | .313 | .745 | .265 | .631 |
15 | .881 | .910 | .016 | .029 | .033 | .069 | .078 | .063 | .071 |
16 | .881 | .924 | .016 | .043 | .048 | .082 | .093 | .073 | .083 |
17 | .591 | .626 | .033 | .035 | .059 | .276 | .466 | .153 | .260 |
18 | .720 | .824 | .027 | .104 | .145 | .203 | .282 | .193 | .268 |
19 | .882 | .919 | .012 | .037 | .042 | .071 | .080 | .063 | .072 |
20 | .393 | .440 | .033 | .047 | .119 | .202 | .514 | .177 | .451 |
Note: The values for Mean Estimate, SE, Bias, and Relative Bias are calculated over 30 independent samples, where each sample yields one estimate of the network measure
The Standard Error is the standard deviation of the sampling distribution.
Bias=E(estimates)−True Value
Relative Bias= |Bias/True Value|