Figure 3a, b and g present a regular shape, approximately following Ulrich's observations, that the strong set of the WoT exhibits scale-freeness.
The network exhibits scale-free property like many biological networks in which the degree distribution of proteins approximates a power law p (k) = k −γ, with the degree exponent γ ~ 1.753.
Note that this variant still exhibits scale-free behavior, that the inferred exponents are in better agreement with the predicted values than the exponents inferred from the simulation of the unaltered model, and that the variance of the inferred exponents is higher.
Several studies have earlier shown that ongoing spontaneous brain activity exhibits scale-free behaviour at resting condition [30], [31], [32], where scale-free dynamics is primarily characterized by a power-law scaling behaviour of amplitude fluctuations in raw signal or in specific frequency bands.
Surprisingly, human travel exhibits scaling laws such as the power law distribution that we find for influenza pandemics [14].
In Drosophila, patterning along the anterior-posterior (A P) axis exhibits scaling properties such that embryonic structures are patterned in proportion to embryo length [5], [6], [7], [8].
Previously, we showed that the distribution of leaf terms in protein annotation graphs exhibits scale-free tendencies (Clark and Radivojac, 2011).
Based on the distribution of the connectivity and modularity analysis, we showed that the network exhibits scale-free behavior and clustering of connected components identifies a TGF-β related associated module.
The shortest path length distribution between pairwise protein interactions has been shown in Figure 2. As the degree distribution of the resulting network has also been shown in Figure 3, it exhibits scale-free property like many biological networks in which the degree distribution of proteins approximates a power law p(k) = k− γ, with the degree exponent γ ~ 1.38.
In physics, special cases also exist that exhibit scale invariance.
