雪崩的大小、面积和时间分布均满足幂次定律，但是不同相称度下的动力学指数不相等。
The probability distributions of the size, the area and the time of avalanches all follow the power law, but the dynamic exponent varies with the degree of assortativity.
提出一种估计复杂网络幂律度分布和层次聚集函数标度指数的新方法，并给出求解这些指数的数值算法。
A new method and corresponding numerical procedure were introduced to estimate scaling exponents of power-law degree distribution and hierarchical clustering function for complex networks.
通过计算发现，对于每个个体，他们的不同权重的朋友的数目服从指数为1的幂率分布，为建立个体友谊圈的含权网络提供了一种可能的模式。
We find that the number of the friends at different weight follows a power-law with exponent equal 1 for every one.
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