加权网络结构分析

Structural analysis of weighted networks

网络研究已经成为机器学习领域中的热点问题之一,近年来发展起来的随机块模型是通过建模生成网络的一种方法.本文对随机块模型加以推广,建立加权的随机块模型,在求解过程中,采用一种可以广泛的用于求解混合模型的变分EM算法.最后通过数据模拟,证明了此方法的可行性.

Network research has become a hot topic in the field of machine learning. Developed in recent years the stochastic block model is a method of generating network by modeling. This paper extends the stochastic block model, the establishment of a weighted random block model.In the solution process, you can use a wide range of models for solving mixed variational EM algorithm. Finally, through numerical simulations we prove the feasibility of this approach.