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Link Spam Detection Based on Mass Estimation

Summary: Introduces spam mass, a metric of the impact of link spam on a page's ranking. Estimates of spam mass enable identifying pages that disproportionately benefit from link spamming; Yahoo! web graph experiments reveal tens of thousands of heavy-weight spam instances. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9459
Venue
VLDB
Year
2006
Pagerank
5.6187905e-05
Overall Rank
5,226 | 63.65%
DOI
-

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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
57 Discovering Large Dense Subgraphs in Massive Graphs 2005 VLDB 0.00065491112
2,564 Combating Web Spam with TrustRank 2004 VLDB 8.5277793e-05
13,671 Link Spam Alliances 2005 VLDB -
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