Although many nodes could therefore support multiples links, we found that all of the considered networks, both social and nonsocial, closely followed a "scale-free" degree distribution, p k)∝k −γ (k 0=k for notational convenience), as shown in Figure 3. Figure 3 Degree distributions of all networks studied here.
We found that this dataset did not fit a binomial or Poisson distribution (Fig. 7D), but instead followed a scale-free distribution (Fig. 7E).
The giant network component of ChIN followed a scale-free-like degree distribution, according to which very few nodes would have a disproportionately large number of interactions, and most others would be weakly connected (Barabási and Albert, 1999).
Following a scale of a four-level Likert one 1 < 3.5 is POOR; 3.5 <7.0 is SATISFIED; 7.0 <8.5 is GOOD, and 8.5 10 is EXCELLENT.
Analysis showed that both interaction networks follow a scale-free model, establishing the fact that most real world networks, from varied situations, conform to the small world pattern.
The metric T follows a scaled χ2 distribution as the sum of squares of white Gaussian zero-mean random variables [31] with 2N degrees of freedom.
In such cases the largest infected regions are likely to have fractal geometry and the size distribution of the clusters follow a scaling law.
Their topology reveals modules (clusters of functionally related genes and their regulators) and hubs (genes with high transcriptional connectivity) in a non-random fashion often characterized by a connectivity structure that follows a scale-free power-law distribution [11].
Gene regulatory networks are thought to follow a scale-free (i.e., power law) degree distribution [11]; we can hypothesize that variation in network topology alters path lengths across the network and therefore systematically affects the degree of epistasis.
It has been reported that co-expression networks follow a scale-free node degree distribution [ 7].
Our analysis shows that the transcriptional regulatory network of B. subtilis follows a scale-free distribution with hierarchical modularity.
