Growing Hierarchical Scale-Free Networks by Means of Nonhierarchical Processes

We introduce a fully nonhierarchical network growing mechanism, that furthermore does not impose explicit preferential attachment rules. The growing procedure produces a graph featuring power-law degree and clustering distributions, and manifesting slightly disassortative degreedegree correlations. The rigorous rate equations for the evolution of the degree distribution and for the conditional degree-degree probability are derived.