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The value of average degree for each connected component.
We will give the simulated results of average degree in the following section.
The global reduction of average degree is driven by the average degree reduction in the large periphery of the network.
Inequality (13) shows the value range of average degree of a random graph with n nodes and c connected components.
Additionally, we present an improved polynomial-time approximation algorithm for graphs of average degree at most four and a limited number of vertices with degree less than two.
Specifically, average degree significantly enhances both the experience effect and the externality effect, that is, with the increase of average degree, their impacts on diffusion speed grow.
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Well-characterized graft copolymers with polystyryl grafts of average degrees of polymerization 15, 22, 35, 50, 100 and 130 were successfully prepared.
As an additional proof of the irrelevance of clustering for the phenomenon under discussion, Fig. 8 presents the simulation results for Barabási-Albert scale-free networks of average degrees k = 2, 4 and 8.
Next, the ratio of the average degree of the test network relative to the median average degree of the corresponding random networks (i.e. those obtained after PIE randomization) is calculated (Equation 5).
(I) The distribution (P langle k_{mathrm{out}}rangle )) of the average degree of the 248 dependence networks.
This is also reflected in the growth of the average degree (Figure 3(c)).
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