Table 2.
Predicted network | Randomized network a | |
Average Degree | 7.74 | 7.74 |
Diameter | 9.00 | 6.00. ± 0.032 |
Average Distance | 4.03 | 3.66. ± 0.003 |
Clustering Coefficient | 0.11 | 0.01. ± 0.001 |
a The randomized network was generated by keeping the degree distribution constant and randomizing the number of edges of the predicted network. Briefly, we first randomly allocated the number of edges for each node according to the degree distribution of the predicted network. Subsequently, we randomly picked a pair of nodes to make an edge, then decrease the degree for both nodes by one until the expected edges has been assigned to each node (i.e., the remained degree for each node decreases to 0). This process was repeated 1,000 times, and the average values and standard deviations of the corresponding network properties are shown.