Abstract

In this work we analyze basic properties of Random Apollonian Networks \cite{zhang,zhou}, a popular stochastic model which generates planar graphs with power law properties. Specifically, let kk be a constant and Δ1≥Δ2≥..≥ΔkΔ_1 \geq Δ_2 \geq .. \geq Δ_k be the degrees of the kk highest degree vertices. We prove that at time tt, for any function ff with f(t)→+∞f(t) \rightarrow +\infty as t→+∞t \rightarrow +\infty, t1/2f(t)≤Δ1≤f(t)t1/2\frac{t^{1/2}}{f(t)} \leq Δ_1 \leq f(t)t^{1/2} and for i=2,...,k=O(1)i=2,...,k=O(1), t1/2f(t)≤Δi≤Δi−1−t1/2f(t)\frac{t^{1/2}}{f(t)} \leq Δ_i \leq Δ_{i-1} - \frac{t^{1/2}}{f(t)} with high probability (\whp). Then, we show that the kk largest eigenvalues of the adjacency matrix of this graph satisfy λk=(1±o(1))Δk1/2λ_k = (1\pm o(1))Δ_k^{1/2} \whp. Furthermore, we prove a refined upper bound on the asymptotic growth of the diameter, i.e., that \whp the diameter d(Gt)d(G_t) at time tt satisfies d(Gt)≤ρlog⁡td(G_t) \leq ρ\log{t} where 1ρ=η\frac{1}ρ=η is the unique solution greater than 1 of the equation η−1−log⁡η=log⁡3η- 1 - \logη = \log{3}. Finally, we investigate other properties of the model.

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