Table 1.
capacitation | AR | |
---|---|---|
N°nodes | 146 | 141 |
N°edges | 197 | 191 |
Clustering coefficient | 0.029 | 0.026 |
Diameter | 20 | 20 |
Averaged n°neighbours | 2.667 | 2.695 |
Char. path length | 6.606 | 6.736 |
The number of nodes represent the total number of molecules involved, the number of edges represents the total number of interaction found, the clustering coefficient is calculated as CI = 2nI/k(k-1), where nI is the number of links connecting the kI neighbours of node I to each other, the network diameter is the largest distance between two nodes, the Averaged n°neighbours represent the mean number of connection of each node, the Char. path length gives the expected distance between two connected nodes.