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The percolation process via a sinusoidal probability modulation

机译:通过正弦概率调制的渗透过程

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How clusters are aggregated have great effect on the function and dynamic of complex network. In this paper, we introduce a percolation transition model which can be described with clusters aggregated probability P(C) ~ sin(αC/C), where C is the size of the cluster, C is the size of the largest cluster and α is disturbance parameter. In this article we introduce continuous, weakly and strongly discontinuous percolation transition underlying different α respectively and reveal the strongly impact of clusters' aggregated probability. By means of numerical simulation, we find that the critical point t shows periodic variation with increasing α. Besides, we realize that the largest gap is macroscopic when α >10.9π and the distribution of the cluster size at critical point meets the power laws which is the main feature of explosive percolation.
机译:群集的聚集方式对复杂网络的功能和动态性有很大影响。在本文中,我们介绍了一种渗流过渡模型,可以用聚类聚集概率P(C)〜sin(αC/ C)来描述,其中C是聚类的大小,C是最大聚类的大小,而α是干扰参数。在本文中,我们介绍了分别基于不同α的连续,弱和强不连续渗流过渡,并揭示了聚类聚集概率的强烈影响。通过数值模拟,我们发现临界点t随着α的增加呈现出周期性变化。此外,我们认识到,当α>10.9π时,最大间隙是宏观的,并且临界点处的团簇大小分布符合幂律,这是爆炸性渗流的主要特征。

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