Community | Empirical networks | Random networks^{d} | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|

No. of original genes^{a} | Similarity threshold (s)_{t} | Network size (n)^{b} | r of scale free (significance)^{c} | Avg connectivity (avgK) | Avg path length (GD)^{f} | Avg clustering coefficient (avgCC) | Modularity (no. of modules) | Avg path length (GD) | Avg clustering coefficient (avgCC) | Modularity (M) | |

eCO_{2} | 371 | 0.80 | 245 | −0.89 (<0.001) | 7.13 | 3.09^{e} | 0.22^{e} | 0.44 (18)^{e} | 3.00 ± 0.03 | 0.099 ± 0.009 | 0.31 ± 0.01 |

aCO_{2} | 323 | 0.80 | 184 | −0.94 (<0.001) | 3.58 | 4.21^{e} | 0.10^{e} | 0.65 (16)^{e} | 3.84 ± 0.06 | 0.028 ± 0.007 | 0.52 ± 0.01 |

↵

The number of genes that were originally used for network construction using the RMT-based approach.^{a}↵

The number of genes (i.e., nodes) in a network.^{b}↵

The correlation coefficient (^{c}*r*) of the linear relationship in log[*P*(*k*)] ~ −γ log(*k*), where*P*(*k*) is the fraction of connectivity*k*and γ is a constant.↵

The random networks were generated by rewiring all of the links of a MEN with the identical numbers of nodes and links to the corresponding empirical MEN.^{d}↵

Significant difference (^{e}*P*< 0.001) between aCO_{2}and eCO_{2}.↵

GD, geodesic distance.^{f}