| Topological parameter |
Human |
Sea urchin |
C. elegans |
| Connected components |
1 |
1 |
1 |
| Number of nodes |
151 |
130 |
102 |
| Number of edges |
205 |
184 |
139 |
| Clustering coefficient |
0.028 |
0.037 |
0.031 |
| Network diameter |
20 |
23 |
23 |
| Shortest paths |
8086 (35%) |
7176 (42%) |
3524 (34%) |
| Characteristic path length |
6.546 |
7.967 |
7.812 |
| Averaged number of neighbours |
2.662 |
2.738 |
2.569 |
| In-degree distribution |
|
|
|
| γ |
-1.499 |
-1.531 |
-1.826 |
| r |
0.988 |
0.989 |
0.996 |
| R2 |
0.884 |
0.700 |
0.914 |
| Out-degree distribution |
|
|
|
| γ |
-1.934 |
-2.228 |
-2.345 |
| r |
0.996 |
0.967 |
0.931 |
| R2 |
0.818 |
0.919 |
0.843 |
| Avg. Clustering Coefficient Distribution |
|
|
|
| γ |
-0.454 |
-0.690 |
0.416 |
| r |
0.183 |
0.347 |
0.305 |
| R2 |
0.217 |
0.420 |
0.135 |
The value of connected components measures the number of networks obtained; 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 neighbors of node I to each other; the network diameter is the largest distance between two nodes; shortest paths is the measure of the number (and percentage) of shortest path within the network; 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; γ represent the exponent of power law y = ax-γ, r is the correlation coefficient, R2 the coefficient of determination of power law. |
