Table 4. Network motif analysis results.
Subgraph ID | Average Observed Density | Observed Networks1 | Motifs (count >1)2 | Motifs (density >1%)3 |
1 | 2.33E-01 | 12 | 3 | 3 |
2 | 1.25E-01 | 12 | 0 | 0 |
3 | 2.55E-01 | 12 | 2 | 2 |
4 | 1.17E-01 | 12 | 0 | 0 |
5 | 1.74E-01 | 12 | 0 | 0 |
6 | 4.07E-02 | 12 | 0 | 0 |
7 | 2.33E-02 | 11 | 11 | 11 |
8 | 4.43E-03 | 9 | 4 | 0 |
9 | 5.53E-03 | 11 | 4 | 1 |
10 | 9.62E-03 | 11 | 10 | 4 |
11 | 7.71E-03 | 11 | 7 | 2 |
12 | 8.21E-03 | 12 | 7 | 4 |
13 | 4.76E-03 | 5 | 2 | 0 |
This table summarizes the classification of subgraphs as network motifs. (1) The number of observed networks containing each respective subgraph. (2) The number of networks in which the observed density for a subgraph is significantly greater than its density in the random networks and in which the subgraph appears more than once in the observed network. (3) The number of networks in which the average observed density for a subgraph is significantly greater than its density in the random networks and in which the subgraph density is at least one percent in the observed network.