Localized Community-Based Node Anomalies in Complex Networks-Reference-Cited by-同舟云学术

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Localized Community-Based Node Anomalies in Complex Networks

Published:2023 Issue: Volume: Page:679-689
ISSN:2367-3370
Container-title:Soft Computing for Problem Solving
language:
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Author:

Mukherjee Trishita,Kumar Rajeev

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-6525-8_52

Reference22 articles.

1. Liu F, Li Z, Wang B, Wu J Yang J, Huang J, Zhang Y, Wang W, Xue S, Nepal S et al (2022) eRiskCom: an e-commerce risky community detection platform. VLDB J 1–17

2. Chen L, Gao S, Liu B (2022) An improved density peaks clustering algorithm based on grid screening and mutual neighborhood degree for network anomaly detection. Sci Rep 12(1):1–14

3. Mahmood B, Alanezi M (2021) Structural-spectral-based approach for anomaly detection in social networks. Int J Comput Digit Syst 10(1):343–351

4. Francisquini R, Lorena AC, Nascimento MC (2022) Community-based anomaly detection using spectral graph filtering. ArXiv preprint arXiv:2201.09936

5. Raidl GR (2003) A unified view on hybrid metaheuristics. In: Proceedings of international workshop on hybrid metaheuristics. Springer, Berlin, pp 1–12

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Local Community-Based Anomaly Detection in Graph Streams;IFIP Advances in Information and Communication Technology;2024

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