SocialSpamGuard: A Data Mining-Based Spam Detection System for Social Media Networks

Summary: SocialSpamGuard is a scalable online social-media spam-detection system based on data mining for SNS security. It integrates a large-scale GAD clustering algorithm with an active-learning module for real-time detection and adaptation to evolving spammers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10227
Venue: VLDB
Year: 2011
Pagerank: 4.6425237e-05
Overall Rank: 7,804 | 45.77%
DOI: -

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,375	From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms	2019	VLDB	4.5278191e-05

Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank

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