Growing models from deterministic to random hierarchical networks
by Juan Zhang, Huan Huang
International Journal of Systems, Control and Communications (IJSCC), Vol. 1, No. 4, 2009

Abstract: In this paper, we introduce a growing hierarchical network model with a tunable parameter q which is an economic model based on the real-life networks of profit distributions. Our theoretical results indicate that the model follows a power-law degree distribution P(k) ∝ k^−γ with the power-law exponent of γ ≈ 1. Besides, the model has a smaller Average Path Length (APL) and a larger clustering coefficient for smaller q, proved to be a Small-World Network (SWN).

Online publication date: Sat, 06-Jun-2009

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