
pmid: 20867147
handle: 11583/2525101
An anomalous mean-field solution is known to capture the non trivial phase diagram of the Ising model in annealed complex networks. Nevertheless the critical fluctuations in random complex networks remain mean-field. Here we show that a break-down of this scenario can be obtained when complex networks are embedded in geometrical spaces. Through the analysis of the Ising model on annealed spatial networks, we reveal in particular the spectral properties of networks responsible for critical fluctuations and we generalize the Ginsburg criterion to complex topologies.
(4 pages, 2 figures)
Physics - Physics and Society, Statistical Mechanics (cond-mat.stat-mech), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Physics and Society (physics.soc-ph), Condensed Matter - Disordered Systems and Neural Networks, Models, Theoretical, Condensed Matter - Statistical Mechanics, Phase Transition
Physics - Physics and Society, Statistical Mechanics (cond-mat.stat-mech), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Physics and Society (physics.soc-ph), Condensed Matter - Disordered Systems and Neural Networks, Models, Theoretical, Condensed Matter - Statistical Mechanics, Phase Transition
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