Using a novel genetic algorithm to assess peer influence on willingness to use pre-exposure prophylaxis in networks of Black men who have sex with men

Applied Network Science

Table 19 Mean self-weight, mean weight, proportion, and number by network, adjacency matrix and leadership for willingness

Network	Adjacency	Leader	Self-weight	Weight	Proportion	Number
1 (\(N=12\))	Build	Leader	0.50 (0.21)	0.21 (0.29)	0.79	11
	Build	Non-leader	0.74 (0.34)	0.14 (0.17)	0.88	7
	Remove	Leader	0.40 (0.26)	0.11 (0.18)	0.72	26
	Remove	Non-leader	0.30 (0.26)	0.05 (0.08)	0.55	44
2 (\(N=11\))	Build	Leader	0.61 (0.52)	0.17 (0.15)	0.70	7
	Build	Non-leader	0.66 (0.41)	0.15 (0.16)	0.75	6
	Remove	Leader	0.37 (0.55)	0.09 (0.07)	0.78	18
	Remove	Non-leader	0.23 (0.33)	0.08 (0.08)	0.88	64
3 (\(N=8\))	Build	Leader	0.05 (NA)	0.35 (0.57)	0.67	2
	Build	Non-leader	0.48 (0.33)	0.26 (0.25)	0.57	4
	Remove	Leader	0.02 (NA)	0.25 (0.05)	1.00	3
	Remove	Non-leader	0.31 (0.22)	0.11 (0.17)	0.80	36
4 (\(N=5\))	Build	Leader	0.83 (NA)	0.00 (0.00)	0.00	0
	Build	Non-leader	0.84 (0.19)	0.14 (0.16)	0.67	4
	Remove	Leader	0.68 (NA)	0.02 (0.01)	0.75	3
	Remove	Non-leader	0.61 (0.30)	0.13 (0.21)	0.57	8
5 (\(N=4\))	Build	Leader	0.50 (0.01)	0.31 (0.23)	1.00	4
	Build	Non-leader	0.88 (0.12)	0.00 (0.00)	0.00	0
	Remove	Leader	0.48 (0.01)	0.21 (0.25)	0.67	4
	Remove	Non-leader	0.74 (0.08)	0.05 (0.13)	0.17	1

Mean self-weight, mean weight from other agents, and proportion and number of possible weights from other agents that exceed 0.005 for willingness with standard deviations where applicable