Demographic characteristics at baseline, with the results of a permutation test for homophily
| Characteristic | Number of | Number of | P value |
| NMs (%) or mean (SD) (n=710) | CAs (%) or mean (SD) (n=662) | ||
| Age | 33.0 (11.1) | 38.9 (9.7) | <0.001 |
| Female | 380 (53.7%) | 349 (53.9%) | 0.89 |
| Employed | 490 (69.3%) | 356 (55.0%) | <0.001 |
| At least 7 years education | 369 (52.0%) | 584 (82.3%) | <0.001 |
| Complete HIV knowledge | 638 (89.9%) | 598 (90.4%) | 0.65 |
| Persons sleeping in home | 5.00 (5.77) | 3.87 (3.72) | <0.001 |
| Married | 373 (52.7%) | 338 (51.1%) | 0.56 |
| HIV positive | 87 (12.3%) | 662 (100%) | N/A |
| Private source of water | 309 (43.7%) | 263 (39.7%) | 0.19 |
Specifically, for each CA-NM dyad, either a difference (for continuous variables) or concordance (for dichotomous variables) is calculated. For example, if a changeagent (CA) was 39 years old, and their networkmember (NM) was 25 years old, the difference would be 14 years old. If a CA was male and their NM was female, the pair would be discordant for sex. CA-NM pairs were then randomly reshuffled, the edge-wise characteristics recalculated, and the observed difference compared to the distribution of randomised differences.