Node-level community detection within edge exchangeable models for interaction processes

IF 3 1区数学 Q1 STATISTICS & PROBABILITY

Journal of the American Statistical Association Pub Date : 2024-05-28 DOI:10.1080/01621459.2024.2358560

Yuhua Zhang, Walter Dempsey

引用次数: 0

Abstract

Scientists are increasingly interested in discovering community structure from modern relational data arising on large-scale social networks. While many methods have been proposed for learning comm...

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交互过程边缘可交换模型中的节点级群落检测

科学家们对从大规模社交网络中产生的现代关系数据中发现社群结构越来越感兴趣。虽然已经提出了许多学习社区结构的方法，但仍有许多问题有待解决。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of the American Statistical Association 数学-统计学与概率论

CiteScore

7.50

自引率

8.10%

发文量

168

审稿时长

12 months

期刊介绍： Established in 1888 and published quarterly in March, June, September, and December, the Journal of the American Statistical Association ( JASA ) has long been considered the premier journal of statistical science. Articles focus on statistical applications, theory, and methods in economic, social, physical, engineering, and health sciences. Important books contributing to statistical advancement are reviewed in JASA . JASA is indexed in Current Index to Statistics and MathSci Online and reviewed in Mathematical Reviews. JASA is abstracted by Access Company and is indexed and abstracted in the SRM Database of Social Research Methodology.