Table 3.

Exponential random graph models for Network I and Network II

Network I
	Model 1: Null model			Model 2: Attribute predictors			Model 3: Attribute and structural predictors
Parameters	b (SE)	OR	CI	b (SE)	OR	CI	b (SE)	OR	CI
Edges	-3.57 (0.07)***	0.03	0.02–0.03	-3.31 (0.10)***	0.04	0.03–0.04	-3.24 (0.16)***	0.04	0.03–0.05
Attribute predictors
Homophily
Public sector				-0.58 (0.33)	0.56	0.29–1.08	-0.73 (0.35)*	0.48	0.24–0.95
Private sector				0.53 (1.09)	1.70	0.20-14.44	0.51 (1.17)	1.66	0.17–16.59
Non-profit sector				-0.42 (0.14)**	0.65	0.49–0.87	-0.36 (0.13)**	0.70	0.54–0.89
Activity
For-profit orientation				-0.39 (0.22)	0.68	0.44–1.04	-0.31 (0.17)	0.74	0.53–1.02
Structural predictors
GWESP							0.48 (0.08)***	1.62	1.38–1.89
GWDegree							-0.94 (0.21)***	0.39	0.26–0.59
Model fit
AIC	2203			2201			2120
Network II
	Model 1: Null model			Model 2: Attribute predictors			Model 3: Attribute and structural predictors
Parameters	b (SE)	OR	CI	b (SE)	OR	CI	b (SE)	OR	CI
Edges	-2.74 (0.12)***	0.06	0.05–0.08	-2.35 (0.29)***	0.10	0.05–0.17	-2.30 (0.38)***	0.10	0.05–0.21
Attribute predictors
Homophily
Public sector				-0.32 (0.36)	0.72	0.35–1.47	-0.64 (0.42)	0.53	0.23–1.20
Private sector				1.22 (1.22)	3.40	0.31–37.14	1.30 (1.31)	3.65	0.28–47.58
Non-profit sector				-1.43 (0.39)***	0.24	0.11–0.52	-1.38 (0.44)**	0.25	0.11–0.60
Activity
For-profit orientation				-0.55 (0.34)	0.58	0.29–1.13	-0.55 (0.30)	0.58	0.32–1.04
Sports facility				0.02 (0.19)	1.02	0.70–1.47	0.01 (0.15)	1.01	0.76–1.35
Structural predictors
GWESP							0.36 (0.18)*	1.44	1.02–2.03
GWDegree							-0.84 (0.42)*	0.43	0.19–0.98
Model fit
AIC	560.8			553			543

*p < 0.05; **p < 0.01; ***p < 0.001. Abbreviations: b = estimate; SE = standard error; OR = odds ratio; CI = 95% confidence interval