Table 3 Exponential random graph models for Network I and 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

-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