| Nearest neighbor spacing distribution of model networks and real world biological networks follows GOE statistics of random matrix theory (RMT). Furthermore, long range correlations among eigenvalues provide insight into the randomness in the networks. This statistics provides a platform to characterize networks based on different levels of randomness present in the network. |
|