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# Table 2 The regression coefficients of each of the three linear models. Model *M*_{1} is log(*y*)=*ω*_{0}+*ω*_{1}*L*+*ω*_{2}*N*+*ω*_{3}*C*, model *M*_{2} is log(*y*)=*ω*_{0}+*ω*_{1}*L*+*ω*_{2}*N*+*ω*_{4}*d*, model *M*_{3} is log(*y*)=*ω*_{0}+*ω*_{1}*L*+*ω*_{2}*N*+*ω*_{3}*C*+*ω*_{4}*d*, 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 *ω*_{i} (*i*=0,…,4) with p-values reported in brackets. (^{∗}*p*<0.1;^{∗∗}*p*<0.05;^{∗∗∗}*p*<0.01.)

M_{1} | M_{2} | M_{3} | |
---|---|---|---|

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***) |

R^{2} | 0.163 | 0.183 | 0.223 |