Local Statistic With Dynamic Vertex Selection for Change-Point Detection in Stochastic Block Networks

Local Statistic With Dynamic Vertex Selection for Change-Point Detection in Stochastic Block Networks

Change-point detection within random networks is essential for many applications. Generally, the typical methods focus on the Erdös-Rényi random networks, or assume that the anomalous subnetworks only have high link probability with the fixed membership. In this paper, we con...

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Bibliographic Details
Main Authors: Yanping Zhao, Bo Wang, Mingan Luan, Fengye Hu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Anomaly detection
change-point detection
stochastic block model
random networks
local statistic
Online Access:https://ieeexplore.ieee.org/document/9139249/

Internet

https://ieeexplore.ieee.org/document/9139249/

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