Detecting Anomalies in Network Communities Based on Structural and Attribute Deviation

Anomaly detection in online social networks (OSNs) is an important data mining task that aims to detect unexpected and suspicious users. To enhance anomaly exploration, anomaly ranking is used to assess the degree of user anomaly rather than applying binary detection methods, which depend on identif...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Hedia Zardi, Hanen Karamti, Walid Karamti, Norah Saleh Alghamdi
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Subjects:	anomaly detection community-based approach anomaly rank social networks contextual anomaly attributed network
Online Access:	https://www.mdpi.com/2076-3417/12/22/11791