We study the problem of detecting the community structure from the generalized stochastic block model (GSBM). Based on the analysis of the Stieljtes transform of the empirical spectral distribution, we prove a BBP-type transition for the largest eigenvalue of the GSBM. For specific models such as a hidden community model and an unbalanced stochastic model, we provide precise formulas for the two largest eigenvalues, establishing the gap in the BBP-type transition.
翻译:根据对经验光谱分布的Stieljtes变化的分析,我们证明,对于全球光谱分布的最大电子价值来说,BBP型转换是一种最大电子价值的过渡,对于隐藏社区模型和不平衡的随机模型等具体模型,我们为两种最大的电子值提供了精确的公式,从而确定了BBP型转型中的差距。