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Figure 5 | Biology Direct

Figure 5

From: Modularity and anti-modularity in networks with arbitrary degree distribution

Figure 5

Changing a network's degree distribution. This sketch indicates how different degree distributions morph into one another as several different parameters of the growth model are changed. From the "default" exponential degree distribution of the Callaway model (center of diagram) Erdös-Rényi-like distributions can be obtained in two different ways: either by increasing the probability to add edges while keeping the node addition probability constant, or by randomizing edges using a small q (distributions on the left, note the non-logarithmic axes). Approximately scale-free distributions can be obtained from the exponential one by increasing the node duplication probability, but doing so while decreasing the number of edges per node creates a hybrid between scale-free and Erdös-Rényi-type distributions (distributions on the right).

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