Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities
用于稀疏且具有重叠社区结构图的可交换随机测度
Summary We propose a novel statistical model for sparse networks with overlapping community structure. The model is based on representing the graph as an exchangeable point process and naturally generalizes existing probabilistic models with overlapping block structure to the sparse regime. Our construction builds on vectors of completely random measures and has interpretable parameters, each node being assigned a vector representing its levels of affiliation to some latent…