This paper contains new identification results for undirected weighted stochastic blockmodels. They are sharper than the ones available to date and the arguments underlying them are constructive. A nonparametric estimation framework that is computationally attractive is presented and the associated distribution theory is derived. Numerical experiments are reported on.

翻译：本文件载有未定向加权随机型块模型的新识别结果,比迄今已有的更清晰,其依据的论点具有建设性,提出了具有计算吸引力的非参数估计框架,并得出了相关的分布理论,报告了数字实验。