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Table 2 The regression coefficients of each of the three linear models. Model M1 is log(y)=ω0+ω1L+ω2N+ω3C, model M2 is log(y)=ω0+ω1L+ω2N+ω4d, model M3 is log(y)=ω0+ω1L+ω2N+ω3C+ω4d, where y is the opinion diversity, L is the average shortest path length, N is network size, C is the average clustering coefficient, d is the network density. The values shown below pertain to the coefficients ωi (i=0,…,4) with p-values reported in brackets. (∗p<0.1;∗∗p<0.05;∗∗∗p<0.01.)

From: A network perspective on intermedia agenda-setting

 

M1

M2

M3

Intercept

-15.15 (0.001***)

-15.10 (0.001***)

-14.03 (0.001***)

Avg. shortest path length (L)

-0.21 (0.314)

-0.03 (0.830)

-0.01 (0.967)

Network Size (N)

1.76 (0.001***)

1.30 (0.006***)

0.98 (0.042*)

Avg. clustering coefficient (C)

-0.16 (0.504)

-

0.67 (0.024**)

Density (d)

-

-0.46 (0.093)

-0.95 (0.006***)

R2

0.163

0.183

0.223