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Complex network growth model: Possible isomorphism between nonextensive statistical mechanics and random geometry

In the realm of Boltzmann-Gibbs statistical mechanics there are three well known isomorphic connections with random geometry, namely (i) the Kasteleyn-Fortuin theorem which connects the $λ\to 1$ limit of the $λ$-state Potts ferromagnet with bond percolation, (ii) the isomorphism which connects the $λ\to 0$ limit of the $λ$-state Potts ferromagnet with random resistor networks, and (iii) the de Gennes isomorphism which connects the $n \to 0$ limit of the $n$-vector ferromagnet with self-avoiding random walk in linear polymers. We provide here strong numerical evidence that a similar isomorphism appears to emerge connecting the energy $q$-exponential distribution $\propto e_q^{-β_q \varepsilon}$ (with $q=4/3$ and $β_q ω_0 =10/3$) optimizing, under simple constraints, the nonadditive entropy $S_q$ with a specific geographic growth random model based on preferential attachment through exponentially-distributed weighted links, $ω_0$ being the characteristic weight.