ICASSP 2020accepted0 citations
Online Community Detection by Spectral Cusum
Minghe Zhang, Liyan Xie, Yao Xie
Abstract
We present an online community change detection algorithm called spectral CUSUM to detect the emergence of a community using a subspace projection procedure based on a Gaussian model setting. Theoretical analysis is provided to characterize the average run length (ARL) and expected detection delay (EDD), as well as the asymptotic optimality. Simulation and real data examples demonstrate the good performance of the proposed method.
BibTeX
@inproceedings{icassp2020_onlinecommunityd,
title = {Online Community Detection by Spectral Cusum},
author = {Minghe Zhang and Liyan Xie and Yao Xie},
booktitle = {ICASSP 2020},
year = {2020}
}