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Fig. 2 | Applied Network Science

Fig. 2

From: Normalised degree variance

Fig. 2

Normalisations of degree variance of quasi-star graphs (QS), quasi-complete graphs (QC), ER random graphs (E-R), Random Geometric Graphs (RGG) and EEG PLI networks (EEG) of sizes 16 (dotted lines), 32 (dashed lines), 64 (dash-dotted lines) and 128 (solid lines). The proposed normalisation shows smooth curves which are markedly stable with respect to n for all graphs. Clearly, J and σ2 violate standard normalisation principles and are influenced by network size. On the other hand ρ cannot be computed for graphs with isolated nodes which are particular prominent at lower densities of the weighted models and values are squeezed at high densities

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