.

Jing Lei1, Kevin Z Lin2

  • 1Department of Statistics and Data Science, Carnegie Mellon University, USA.

概括

本研究介绍了一种方法,通过对二次相邻矩阵进行总和,在稀疏的多层网络中找到社区结构. 消除偏见的步骤对于在非常稀疏的数据中准确地检测社区至关重要.

相关概念视频

Cluster Sampling Method01:20

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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

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Multicompartment Models: Overview01:14

Multicompartment Models: Overview

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Extraction: Partition and Distribution Coefficients01:14

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Noncompartmental Analysis: Statistical Moment Theory00:56

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