School of Physical Science and Technology, and Key Laboratory for Magnetism and Magnetic Materials of MOE, Lanzhou University, Lanzhou, Gansu 730000, China.
Cuiying Honors College, Lanzhou University, Lanzhou, Gansu 730000, China.
Phys Rev E. 2018 May;97(5-1):052133. doi: 10.1103/PhysRevE.97.052133.
Clique percolation has attracted much attention due to its significance in understanding topological overlap among communities and dynamical instability of structured systems. Rich critical behavior has been observed in clique percolation on Erdős-Rényi (ER) random graphs, but few works have discussed clique percolation on finite dimensional systems. In this paper, we have defined a series of characteristic events, i.e., the historically largest size jumps of the clusters, in the percolating process of adding bonds and developed a new finite-size scaling scheme based on the interval of the characteristic events. Through the finite-size scaling analysis, we have found, interestingly, that, in contrast to the clique percolation on an ER graph where the critical exponents are parameter dependent, the two-dimensional (2D) clique percolation simply shares the same critical exponents with traditional site or bond percolation, independent of the clique percolation parameters. This has been corroborated by bridging two special types of clique percolation to site percolation on 2D lattices. Mechanisms for the difference of the critical behaviors between clique percolation on ER graphs and on 2D lattices are also discussed.
由于团块渗滤在理解社区之间的拓扑重叠和结构系统的动力学不稳定性方面的重要性,它引起了广泛关注。在埃尔德什-雷尼(ER)随机图上的团块渗滤中观察到了丰富的临界行为,但很少有工作讨论有限维系统上的团块渗滤。在本文中,我们在键添加的渗滤过程中定义了一系列特征事件,即簇的历史上最大的大小跳跃,并基于特征事件的间隔开发了一种新的有限尺寸标度方案。通过有限尺寸标度分析,我们有趣地发现,与 ER 图上的团块渗滤不同,团块渗滤的临界指数是参数相关的,二维(2D)团块渗滤与传统的点或键渗滤简单地共享相同的临界指数,与团块渗滤参数无关。这通过将两种特殊类型的团块渗滤与二维格上的点渗滤联系起来得到了证实。还讨论了 ER 图上的团块渗滤和二维格上的团块渗滤的临界行为差异的机制。