| Â | Â |
Modularity
|
Nestedness
|
|---|
Measure | Â | QB
| NODF | NTC | BR |
Measure score | x | 0.1575 | 27.9199 | 30.2532 | 130 |
Null model 1 | N | 1000 | 1300 | 1300 | 1300 |
| Â | p-value | <1/N | <1/N | <1/N | <1/N |
| Â | z-score | 4.8602 | -7.5382 | -11.9831 | -11.7632 |
Null model 2 | N | 1000 | 1000 | 1000 | 1000 |
| Â | p-value | <1/N | <1/N | <1/N | <1/N |
| Â | z-score | 5.7693 | -4.6740 | -6.7842 | -7.1554 |
- Barber’s modularity (Qb) and three nestedness measures (NODF, NTC and BR) were calculated. Two null models were used to generate ensembles of networks (of size N) to evaluate the strength of the modularity and nestedness observed in the classified Escherichia coli O157:H7 phage-bacteria infection network. This is done by reporting the significance (as a p-value) and effect size (as a z-score) of the phage-bacteria infection network relative to the networks found in each null model ensemble. Note that, due to differences in how these measures are calculated, for modularity a positive z-score indicates that modularity is greater in the observed network than the mean average of the ensemble; whilst in the nestedness analysis a negative z-score indicates the observed network is more nested than the mean nestedness found within the null ensemble. The classified Escherichia coli O157:H7 phage-bacteria infection network was found to be both more nested and more modular than any of the networks generated by the tested null models.
