The possible correlation profiles of networks with a given scale-free degree distribution are restricted and bounded by maximally correlated configurations. Dissortative networks consist of nested bilayers, in which low-degree vertices are connected to high-degree vertices. The number of these bilayers attains a constant value for large network size N. Assortative networks exhibit monolayers of low-degree vertices, the number of which grows monotonously with N. Analytical relations for the Pearson correlation coefficient r of these extremal configurations are derived and shown to provide lower and upper bounds on the possible r values. Both bounds are found to vanish for large networks.
No takes yet. Share an insight, caveat, or question.
Menche et al. (2010) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: