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The maximum average degree, m(G), of a graph G is the largest average degree over all subgraphs of G.
The spectral specificity of the observed network modulations was investigated by calculating the frequency-resolved degree over all significant connections within each frequency band.
Given a network with n nodes, the worst case running time for counting all graphlets and graphlet degrees for 2- to k-node graphlets is O (n k ) and a tighter upper-bound is O (n d k − 1 ), where d ≤ n is the maximum degree over all nodes in the network (Hočevar and Demšar, 2014).
We applied a wide range sparsity threshold S to all correlation matrices, which is determined in this procedure to guarantee that the threshold networks were estimable for small-worldness (scalar σ was larger than 1.1) and had sparse properties with as few spurious edges as possible and the average degree over all nodes of each threshold network was larger than 2 × log 90) [ 29, 32].
The interference degree of the whole network Λ is the maximum interference degree over all the pairings.
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The number of edges for a given node is known as the node's degree, and the probability distribution of degrees over all nodes is referred to as the degree distribution.
For a given network, the cell values are computed by Spearman's correlation between the corresponding graphlet degrees over all nodes in the network.
Generally, CLUSTAL W produces multiple alignments of high quality if the sequences are globally related and the degree of over-all similarity between them is sufficiently strong [ 36, 16].
Let Δ a be the maximum degree taken over all allowed vertices.
The average degree is the degree averaged over all the nodes in a graph [ 44].
The results display a significant degree of scatter over all timescales.
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