论文标题
泰勒的电力法，用于$ n $标准网络演变模型
Taylor's power law for the $N$-stars network evolution model
论文作者
论文摘要
泰勒的权力法指出，差异功能是权力法的衰减。在生态学中观察到物种的人口密度。对于随机网络而言，另一种权力法，也就是说，对功率法学位分配进行了广泛的研究。在本文中，原始的泰勒的力量法被视为随机网络。确切的数学证据表明，对于$ n $ -STARS网络演变模型，泰勒的权力定律在渐近上是正确的。
Taylor's power law states that the variance function decays as a power law. It is observed for population densities of species in ecology. For random networks another power law, that is, the power law degree distribution is widely studied. In this paper the original Taylor's power law is considered for random networks. A precise mathematical proof is presented that Taylor's power law is asymptotically true for the $N$-stars network evolution model.
