Table 1.
The matrix reports the network weights, which corresponds to regularized partial correlations.
Variable | Sleep_F1 | Sleep_F2 | Sleep_F3 | PSS | BPQ | BAI | CD | NSW | Covid B | Covid F | Covid Death | Covid Tot | Gender | CPG |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sleep_F1 | 0.813 | 0.287 | 0.087 | 0.01 | −0.038 | 0 | 0.079 | 0.154 | −0.061 | −0.031 | 0 | −0.011 | −0.009 | 0.043 |
Sleep_F2 | 0.287 | 0.913 | 0.183 | 0.05 | 0.09 | 0.14 | 0 | −0.041 | 0.037 | −0.024 | 1.655e−4 | 0 | −0.009 | 0.048 |
Sleep_F3 | 0.087 | 0.183 | 1.174 | 0.19 | 0.085 | 0.147 | 0.11 | −0.025 | 0.126 | 0.007 | 0 | −0.009 | 0.009 | 0.2 |
PSS | 0.013 | 0.052 | 0.186 | 1.16 | 0.071 | 0.446 | 0.025 | 0.052 | 0.048 | 0.017 | 0 | −0.01 | 0.146 | 0.095 |
BPQ | −0.038 | 0.09 | 0.085 | 0.07 | 0.911 | 0.31 | −0.095 | 0.018 | 0.041 | 0.01 | 0.003 | 3.443e−4 | 0.045 | 0.106 |
BAI | 0 | 0.14 | 0.147 | 0.45 | 0.31 | 1.345 | −0.023 | −0.082 | 0.01 | 0 | 0.003 | 0 | 0.152 | 0.032 |
CD | 0.079 | 0 | 0.11 | 0.03 | −0.095 | −0.02 | 0.675 | 0.077 | −0.03 | 0.065 | 0 | −0.005 | −0.054 | 0.112 |
NSW | 0.154 | −0.041 | −0.025 | 0.05 | 0.018 | −0.08 | 0.077 | 0.821 | 0.142 | 0.102 | −0.027 | 0 | −0.099 | −0.002 |
Covid B | −0.061 | 0.037 | 0.126 | 0.05 | 0.041 | 0.01 | −0.03 | 0.142 | 0.835 | 0.162 | 0.017 | 0.023 | −0.136 | 0.002 |
Covid F | −0.031 | −0.024 | 0.007 | 0.02 | 0.01 | 0 | 0.065 | 0.102 | 0.162 | 0.57 | 0 | 0.065 | 0.058 | 0.028 |
Covid D | 0 | 1.655e−4 | 0 | 0 | 0.003 | 0.003 | 0 | −0.027 | 0.017 | 0 | 1.035 | 0.97 | 0.014 | 0 |
Covid Tot | −0.011 | 0 | −0.009 | −0.01 | 3.443e−4 | 0 | −0.005 | 0 | 0.023 | 0.065 | 0.97 | 1.097 | 0 | −0.004 |
Gender | −0.009 | −0.009 | 0.009 | 0.15 | 0.045 | 0.152 | −0.054 | −0.099 | −0.136 | 0.058 | 0.014 | 0 | 0.794 | 0.064 |
CPG | 0.043 | 0.048 | 0.2 | 0.1 | 0.106 | 0.032 | 0.112 | −0.002 | 0.002 | 0.028 | 0 | −0.004 | 0.064 | 0.736 |
The diagonal reports the Strength centrality index, which is the sum of all the weights that a node receives. Strength also measures the predictability of a node given the others.