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Localized percolation refers to removing a node its neighbors, next nearest neighbors etc. until a fraction of <math>1-p</math> of nodes from the network is removed. It was shown that for random graph with Poisson distribution of degrees <math>p_c=\tfrac{1}{\langle k\rangle}</math> exactly as for random removal. For other types of degree distributions <math>p_c</math> for localized attack is different from random attack

Localized percolation refers to removing a node its neighbors, next nearest neighbors etc. until a fraction of <math>1-p</math> of nodes from the network is removed. It was shown that for random graph with Poisson distribution of degrees <math>p_c=\tfrac{1}{\langle k\rangle}</math> exactly as for random removal. For other types of degree distributions <math>p_c</math> for localized attack is different from random attack

'''<font color="#FF8000">局部渗滤 Localized Percolation </font>'''指的是去除一个节点的邻居、次近邻等。直到网络中概率为 <math>1-p</math> 的一部分节点被移除。结果表明，对于服从泊松分布<math>p_c=\tfrac{1{\langle k\rangle}</math> 的随机图，和随机删除是一样的。对于其他类型的度分布，局部攻击和随机攻击是不同的。

'''<font color="#FF8000">局部渗滤 Localized Percolation </font>'''指的是去除一个节点的邻居、次近邻等。直到网络中概率为 <math>1-p</math> 的一部分节点被移除。结果表明，对于服从泊松分布的随机图，其度分布为 <math>p_c=\tfrac{1}{\langle k\rangle}</math> ，和随机删除是一样的。对于其他类型的度分布 <math>p_c</math>，局部攻击和随机攻击是不同的。

''(threshold functions, evolution of <math>\tilde G</math>)''

''(threshold functions, evolution of <math>\tilde G</math>)''