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Publicado en línea: 18 ene 2019
Páginas: 1 - 11
DOI: https://doi.org/10.21307/connections-2018-002
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© 2018 Stephen P. Borgatti published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Figure A1
Figure A2
G-transitivity decomposition command line instruction and output in UCINET.
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 |
R-square of models predicting performance using betweenness centrality at different levels of dichotomization.
| Dichot. level | |
|---|---|
| 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 |
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 |
Z-score, correlation, number of ties and density of the DGG dataset at different dichotomization levels.
| Value | 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 |