Figure 1: Small-World Propensity in binary networks. | Scientific Reports

Figure 1: Small-World Propensity in binary networks.

From: Small-World Propensity and Weighted Brain Networks

Figure 1

(a) Clustering coefficient and path length as a function of the rewiring parameter, p, for a standard Watts-Strogatz formulation of a small-world network with N = 1000 nodes and r = 5. The dashed horizontal lines mark the baseline value of the clustering coefficient in a similar lattice network (top) and the baseline value for the path length in a similar random network (bottom). (b) SWP calculated for the same network as in panel (a). Error bars represent the standard error of the mean calculated over 50 simulations, and the shaded regions represent the range denoted as SW if using a threshold value of ϕT = 0.6. (c) SWP as a function of network density (increasing r for N = 1000 nodes). (d) Small-world index for the same networks as in panel (c).

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