A Spectral-Based Framework for Hypothesis Testing in Populations of Networks
Abstract
In this paper, we propose a new spectral-based approach to hypothesis testing for populations of networks. The primary goal is to develop a test to determine whether two given samples of networks come from the same random model or distribution. Our test statistic is based on the trace of the third order for a centered and scaled adjacency matrix, which we prove converges to the standard normal distribution as the number of nodes tends to...
Paper Details
Title
A Spectral-Based Framework for Hypothesis Testing in Populations of Networks
Published Date
Jan 1, 2024
Journal
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