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首页> 外文期刊>Journal of statistical mechanics: Theory and Experiment >Double phase transition of the Ising model in core-periphery networks
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Double phase transition of the Ising model in core-periphery networks

机译:核心外围网络中ising模型的双相转换

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We study the phase transition of the Ising model in networks with core-periphery structures. By Monte Carlo simulations, we show that prior to the order-disorder phase transition the system organizes into an inhomogeneous intermediate phase in which core nodes are much more ordered than peripheral nodes. Interestingly, the susceptibility shows double peaks at two distinct temperatures. We find that, if the connections between core and periphery increase linearly with network size, the first peak does not exhibit any sizedependent effect, and the second one diverges in the limit of infinite network size. Otherwise, if the connections between the core and periphery scale sublinearly with the network size, both peaks of the susceptibility diverge as power laws in the thermodynamic limit. This suggests the appearance of a double transition phenomenon in the Ising model for the latter case. Moreover, we develop a mean-field theory that agrees well with the simulations.
机译:我们研究了核心周边结构网络中的ising模型的阶段转换。 通过Monte Carlo模拟,我们认为在订单 - 紊乱相转变之前,系统组织成一个不均匀的中间阶段,其中核心节点比外围节点多得多。 有趣的是,易感性在两个不同的温度下显示了双峰。 我们发现,如果核心和外围之间的连接随网络尺寸线性增加,则第一峰不会表现出任何级别的依赖性效果,并且第二一峰值在无限网络尺寸的极限下发散。 否则,如果核心和外围标度之间的连接载入网络尺寸,易感性的峰值都随着热力学限制的电力规律而偏离。 这表明后一种情况下的ising模型中的双重转换现象的外观。 此外,我们开发了一种与模拟相当良好的平均场理论。

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