文章基本信息

标题：Sparse networks with core-periphery structure
本地全文：下载
作者：Cian Naik ; François Caron ; Judith Rousseau 等
期刊名称：Electronic Journal of Statistics
印刷版ISSN：1935-7524
出版年度：2021
卷号：15
期号：1
页码：1814-1868
DOI：10.1214/21-EJS1819
语种：English
出版社：Institute of Mathematical Statistics
摘要：We propose a statistical model for graphs with a core-periphery structure. We give a precise notion of what it means for a graph to have this structure, based on the sparsity properties of the subgraphs of core and periphery nodes. We present a class of sparse graphs with such properties, and provide methods to simulate from this class, and to perform posterior inference. We demonstrate that our model can detect core-periphery structure in simulated and real-world networks.
关键词：05C80; 60G55; 62F15; Bayesian nonparametrics; completely random measures; networks; Point processes; Poisson random measures; Random graphs; Sparsity