What Are Anomalies in a Network?
This article examines a collection of assumptions used in the current literature on node anomaly detection in a network. The examination raises the question: What are anomalies in a network? Our attempt to answer this question has provided some interesting findings and led to some open questions. This is the first article which formally defines anomalies in a network and introduces the concept of self-verifiability of a detector without ground-truths in a network. They enable existing detectors to be categorized into two types along the line whether they are self-verifiable or not. We suggest a method to evaluate self-verifiable detectors without ground-truths as an alternative to the existing evaluation method that relies on ground-truths.
Authors
- Kai Ming Ting (ORCID: https://orcid.org/0000-0001-7892-6194)
- Guansong Pang (ORCID: https://orcid.org/0000-0002-9877-2716)
- Zongyou Liu (ORCID: https://orcid.org/0009-0005-1389-7245)
- Zhong Zhuang (ORCID: https://orcid.org/0009-0001-4262-8571)
- Qiujun Zhao
- Tang Liang (ORCID: https://orcid.org/0009-0009-5136-1328)
Institutions
- Singapore Management University (SG)
- Nanjing University (CN)
Publication Details
- Journal
- ACM Transactions on Knowledge Discovery from Data
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1145/3723007
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00