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arxiv: 0908.3560 · v1 · submitted 2009-08-25 · ❄️ cond-mat.dis-nn

Antiferromagnetic Ising model in scale-free networks

classification ❄️ cond-mat.dis-nn
keywords networksantiferromagneticdegreegammabeenisingmodelscale-free
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The antiferromagnetic Ising model in uncorrelated scale-free networks has been studied by means of Monte Carlo simulations. These networks are characterized by a connectivity (or degree) distribution P(k) ~ k^(- gamma). The disorder present in these complex networks frustrates the antiferromagnetic spin ordering, giving rise to a spin-glass (SG) phase at low temperature. The paramagnetic-SG transition temperature T_c has been studied as a function of the parameter gamma and the minimum degree present in the networks. T_c is found to increase when the exponent gamma is reduced, in line with a larger frustration caused by the presence of nodes with higher degree.

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