中文摘要：

提出了一种基于贝叶斯网络的健壮社团挖掘算法，通过对每个普通社团分别构建贝叶斯网络，并根据条件概率表和证据信息进行推理，得到贝叶斯网络中每个节点隶属于健壮社团的后验概率以提取健壮社团。实验结果证明了该方法对健壮社团发现的有效性。

英文摘要：

A Bayesian network based algorithm for robust community in complex network is developed. 1 rtrougn constructing Bayesian network for every common community, according to conditional probabilities table and prior probabilities for reasoning, the posterior probabilities of every node being in a robust community is obtained to extract robust communities. It experimentally verifies the effectiveness of two algorithms in networks.