Network ANOVA random effects models for node attributes

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2020-01-01 DOI:10.3934/jdg.2020017

Gabriel Montes-Rojas, P. Elosegui

引用次数: 1

Abstract

This paper develops a subgraph network random effects error components structure for network data to perform analysis of variance. In particular, it proposes a model for evaluating the network interdependence of nodes attributes allowing for edge and triangle specific components. The latter serve as a basal model for modeling more general network effects. Consistent estimators of the variance components and Lagrange Multiplier specification tests for evaluating the appropriate model of random components in networks structures is proposed. Monte Carlo simulations show that the tests have good performance in finite samples. The proposed tests is applied to the unsecured (Call) interbank market network in Argentina.

查看原文本刊更多论文

节点属性的网络方差分析随机效应模型

本文开发了一种子图网络随机效应误差分量结构，对网络数据进行方差分析。特别是，它提出了一个模型来评估节点属性的网络相互依赖性，允许边缘和三角形特定组件。后者作为更一般的网络效应建模的基础模型。提出了方差分量的一致估计和拉格朗日乘数规范检验，用于评价网络结构中随机分量的合适模型。蒙特卡罗仿真结果表明，该方法在有限样本下具有良好的性能。拟议的测试适用于阿根廷的无担保银行间市场网络。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.