Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2005-04-13
Physics
Condensed Matter
Statistical Mechanics
20 pages, 7 figures
Scientific paper
Introduced recently, the concept of hierarchical degree allows a more complete characterization of the topological context of a node in a complex network than the traditional node degree. This article presents analytical characterization and studies of the density of hierarchical degrees in random and scale free networks. The obtained results allowed the identification of a hierarchy-dependent power law for the degrees of nodes in random complex networks, with Poisson density for the first hierarchical degree (obtained through master equation approach). Exact results were obtained for the second hierarchical degree in scale free networks.
Fontoura Costa Luciano da
Viana Matheus Palhares
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