Fig. 2
From: Network spectra for drug-target identification in complex diseases: new guns against old foes
Eigenvalues Distribution. The eigenvalues distribution plotted for healthy (network size (N) = 2083, average degree (〈K〉) = 10) and the diseased (N = 656, 〈K〉 = 11) tissues PPI networks of Diabetes Mellitus proteomics data. Also, random networks were constructed using network information corresponding PPI network data. The eigenvalue statistics of PPI reflects typical triangular shape with the tail of the distribution relating with the exponent of the power law of degree distribution as observed for many other biological and real-world networks. ER networks show typical semi-circular shaped distribution. Apart from that SW, SF and configuration model network show different patterns of distribution than their corresponding PPI networks suggesting PPI networks display different behavior than random network