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arXiv 1306.3010cond-mat.stat-mechphysics.comp-phphysics.soc-ph
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加权正则网络上权重分布引起的伊辛模型的相变

Phase transitions in Ising model induced by weight redistribution on weighted regular networks

Menghui Li, Ying Fan, Jinshan Wu, Zengru Di

摘要:

为了研究权在加权网络中的作用,通过数值模拟研究了加权正则网络上Ising系统的集体行为.在我们的模型中,自旋之间的耦合强度与相应的加权最短距离成反比。即使底层的二元拓扑结构保持不变,无序的链接权重也可以有效地影响相变过程。具体地说,在初始权值均匀的规则网络的基础上,随机地对链路权值进行无序化将改变相变的临界温度。结果表明,重新分配的链接权重可以提供一个额外的方法来优化系统的动力学行为。

英文摘要:

In order to investigate the role of the weight in weighted networks, the collective behavior of the Ising system on weighted regular networks is studied by numerical simulation. In our model, the coupling strength between spins is inversely proportional to the corresponding weighted shortest distance. Disordering link weights can effectively affect the process of phase transition even though the underlying binary topological structure remains unchanged. Specifically, based on regular networks with homogeneous weights initially, randomly disordering link weights will change the critical temperature of phase transition. The results suggest that the redistribution of link weights may provide an additional approach to optimize the dynamical behaviors of the system.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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