Table 1
One mode DGG Women by Women network projection.
| EV | LA | TH | BR | CH | FR | EL | PE | RU | VE | MY | KA | SY | NO | HE | DO | OL | FL | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EVELYN | 8 | 6 | 7 | 6 | 3 | 4 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | 2 | 1 | 2 | 1 | 1 |
| LAURA | 6 | 7 | 6 | 6 | 3 | 4 | 4 | 2 | 3 | 2 | 1 | 1 | 2 | 2 | 2 | 1 | 0 | 0 |
| THERESA | 7 | 6 | 8 | 6 | 4 | 4 | 4 | 3 | 4 | 3 | 2 | 2 | 3 | 3 | 2 | 2 | 1 | 1 |
| BRENDA | 6 | 6 | 6 | 7 | 4 | 4 | 4 | 2 | 3 | 2 | 1 | 1 | 2 | 2 | 2 | 1 | 0 | 0 |
| CHARLOTTE | 3 | 3 | 4 | 4 | 4 | 2 | 2 | 0 | 2 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 |
| FRANCES | 4 | 4 | 4 | 4 | 2 | 4 | 3 | 2 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 |
| ELEANOR | 3 | 4 | 4 | 4 | 2 | 3 | 4 | 2 | 3 | 2 | 1 | 1 | 2 | 2 | 2 | 1 | 0 | 0 |
| PEARL | 3 | 2 | 3 | 2 | 0 | 2 | 2 | 3 | 2 | 2 | 2 | 2 | 2 | 2 | 1 | 2 | 1 | 1 |
| RUTH | 3 | 3 | 4 | 3 | 2 | 2 | 3 | 2 | 4 | 3 | 2 | 2 | 3 | 2 | 2 | 2 | 1 | 1 |
| VERNE | 2 | 2 | 3 | 2 | 1 | 1 | 2 | 2 | 3 | 4 | 3 | 3 | 4 | 3 | 3 | 2 | 1 | 1 |
| MYRNA | 2 | 1 | 2 | 1 | 0 | 1 | 1 | 2 | 2 | 3 | 4 | 4 | 4 | 3 | 3 | 2 | 1 | 1 |
| KATHERINE | 2 | 1 | 2 | 1 | 0 | 1 | 1 | 2 | 2 | 3 | 4 | 6 | 6 | 5 | 3 | 2 | 1 | 1 |
| SYLVIA | 2 | 2 | 3 | 2 | 1 | 1 | 2 | 2 | 3 | 4 | 4 | 6 | 7 | 6 | 4 | 2 | 1 | 1 |
| NORA | 2 | 2 | 3 | 2 | 1 | 1 | 2 | 2 | 2 | 3 | 3 | 5 | 6 | 8 | 4 | 1 | 2 | 2 |
| HELEN | 1 | 2 | 2 | 2 | 1 | 1 | 2 | 1 | 2 | 3 | 3 | 3 | 4 | 4 | 5 | 1 | 1 | 1 |
| DOROTHY | 2 | 1 | 2 | 1 | 0 | 1 | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 1 | 1 | 2 | 1 | 1 |
| OLIVIA | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 2 | 2 |
| FLORA | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 2 | 2 |
Figure 1
DGG Women by Women dataset dichotomized above 1.
Figure 2
DGG Women by Women dataset dichotomized above 2.
Figure 3
DGG Women by Women dataset dichotomized above 3.
Figure 4
BKS FRATERNITY dataset dichotomized above 0.
Figure 5
BKS FRATERNITY dataset dichotomized above 2.
Figure 6
BKS FRATERNITY dataset dichotomized above 4.
Figure 7
BKS FRATERNITY dataset dichotomized above 6.
Table 2
R-square of models predicting performance using betweenness centrality at different levels of dichotomization.
| Dichot. level | R2 |
|---|---|
| 1 | 0.05 |
| 2 | 0.29 |
| 3 | 0.02 |
| 4 | 0.01 |
| 5 | 0.31 |
| 6 | 0.06 |
| 7 | 0.11 |
| 8 | 0.02 |
| 9 | 0.23 |
Table 3
R-square of models predicting performance using betweenness centrality at different levels of dichotomization.
| Dichot. level | R2 |
|---|---|
| 1 | 0.05 |
| 2 | 0.09 |
| 3 | 0.12 |
| 4 | 0.23 |
| 5 | 0.31 |
| 6 | 0.27 |
| 7 | 0.22 |
| 8 | 0.15 |
| 9 | 0.07 |
Table 4
Z-score, correlation, number of ties and density of the DGG dataset at different dichotomization levels.
| Value | Z-score | Correlation | Ties | Density |
|---|---|---|---|---|
| 7 | 3.352 | 0.271887 | 2 | 0.006536 |
| 6 | 2.667 | 0.646625 | 16 | 0.052288 |
| 5 | 1.983 | 0.666829 | 18 | 0.058824 |
| 4 | 1.298 | 0.781314 | 48 | 0.156863 |
| 3 | 0.613 | 0.811928 | 92 | 0.300654 |
| 2 | −0.072 | 0.720115 | 190 | 0.620915 |
| 1 | −0.756 | 0.457341 | 278 | 0.908497 |
| 0 | −1.441 | 306 | 1.000000 |
Figure 8
DGG Women by Women dataset dichotomized at 4.
Table 5
Number of g-transitive and intransitive triples in the DGG dataset at different dichotomization levels.
| Value | Trans | Intrans |
|---|---|---|
| 7 | 0 | 0 |
| 6 | 26 | 0 |
| 5 | 30 | 0 |
| 4 | 160 | 0 |
| 3 | 526 | 4 |
| 2 | 2,032 | 44 |
| 1 | 3,786 | 292 |
| 0 | 4,448 | 448 |
Figure 9
DGG Women by Women dataset dichotomized at 3. Strong ties in bold.
Figure A1
Screenshot of Netdraw.
Figure A2
Screenshot of UCINET’s Interactive Dichotomization routine’s results.
Table A1
G-transitivity decomposition command line instruction and output in UCINET.
| ->dsp gtrans(women) | ||||
| 1 | 2 | 3 | 4 | |
| Level | Trans | Intrans | Possible | Prop Trans |
| n | ||||
| -------- | -------- | -------- | -------- | |
| 7 | 0 | 0 | 0 | |
| 6 | 26 | 0 | 26 | 1 |
| 5 | 30 | 0 | 30 | 1 |
| 4 | 160 | 0 | 160 | 1 |
| 3 | 526 | 4 | 530 | 0.992 |
| 2 | 2,032 | 44 | 2,076 | 0.979 |
| 1 | 3,786 | 292 | 4,078 | 0.928 |
| 0 | 4,448 | 448 | 4,896 | 0.908 |