This paper proposes an approximate algorithm, in which the stochastic sampling process is based on a random number generator and a roulette wheel. The roulette wheel determines the node states according to its prior probabilities.

• 该文提出了一种近似仿真算法。 由随机数发生器产生随机数,并按节点的先验概率,由赌轮对网络各个节点状态赋值,得到一个采样样本序列。