Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels
多层度修正随机块模型中的联合谱聚类
Modern network datasets are often composed of multiple layers, resulting in collections of networks over the same set of vertices but with potentially different connectivity patterns on each network. These data require models and methods that are flexible enough to capture local and global differences across the networks while at the same time being parsimonious and tractable to yield computationally efficient and theoretically sound solutions that are capable of aggregating…