Link Spam Alliances

Summary: Analyzes optimal PageRank-manipulating structures for individual link-spam farms and their alliances. Shows that carefully interconnected farms can yield synergistic, mutually beneficial ranking gains, informing both attack modeling and spam detection. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 9523
Venue: VLDB
Year: 2005
Pagerank: -
Overall Rank: 13,923 | 4.81%
DOI: -

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Zoltán Gyöngyi (Stanford University)
2. Hector Garcia-Molina (Stanford University)

BibTeX Citation

@article{gyongyi_vldb05,
        title = {{Link Spam Alliances}},
        author = {Gyöngyi, Zoltán and Garcia-Molina, Hector},
        journal = {PVLDB},
        series = {{VLDB} '05},
        pages = {517--528},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,047	Link Spam Detection Based on Mass Estimation	2006	VLDB	6.3703436e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
5,047	Link Spam Detection Based on Mass Estimation	2006	VLDB	6.3703436e-05

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