Figure 2
From: A detailed characterization of complex networks using Information Theory

Results showing the relationship between Shannon Entropy and Fisher Information Measure with link density (a,b), and between Fisher Information Measure and Shannon Entropy for Watts-Strogatz networks (c). We restricted the analysis to N = 1000, \(k\in \{1,2,3,\ldots ,499,500\}\) and \(\beta \in \{0,0.001,0.002,\ldots ,0.99,1\}\); the downward red triangles correspond to \(k\)-rings (\({G}_{N,k}\) with β = 0); the upwards blue triangles are random graphs (\({G}_{N,k}\) with β = 1). The blue gradient from dark to light corresponds to rewiring probability β: the intensity of the blue color is inversely proportional to the value of β. The red arrows (c) identify the change of regime.