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: 10417
Venue: VLDB
Year: 2011
Pagerank: 5.4837975e-05
Overall Rank: 8,118 | 44.31%
DOI: 10.14778/3402755.3402795

Incoming Non-self Citations Over Time

Authors

1. Xin Jin (University of Illinois Urbana-Champaign)
2. Cindy Xide Lin (University of Illinois Urbana-Champaign)
3. Jiebo Luo (Eastman Kodak Company)
4. Jiawei Han (University of Illinois Urbana-Champaign)

BibTeX Citation

@article{jin_vldb11,
        title = {{SocialSpamGuard: A Data Mining-Based Spam Detection System for Social Media Networks}},
        author = {Jin, Xin and Lin, Cindy Xide and Luo, Jiebo and Han, Jiawei},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        doi = {10.14778/3402755.3402795},
        url = {https://doi.org/10.14778/3402755.3402795},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,227	From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms	2019	VLDB	5.4622609e-05

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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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