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Authoritative Sources in a Hyperlinked Environment (HITS)  John M. Kleinberg - HITS Hypertext Induced Topic Selection (HITS) is a link analysis algorithm that rates Web pages for their authority and hub values. Authority value estimates the value of the content of the page; hub value estimates the value of its links to other pages.
Citation indexes for science.  Eugene Garfield
Combating Web Spam with TrustRank  Zoltan Gyongyi, Hector Garcia-Molina, Jan Pederse - TrustRank is a link analysis technique described in a paper by Yahoo! researchers for semi-automatically separating useful webpages from spam.[1]
Deeper Inside PageRank  Amy N. Langville, Carl D. Meyer
How Google Finds Your Needle in the Web  David Austin
Predicting Fame and Fortune: PageRank or Indegree?  Trystan Upstill, Nick Craswell, David Hawking - Experiments report a high correlation betweenPageRank and log indegree on the WWW.
The Anatomy of a Large-Scale Hypertextual Web Search Engine  S. Brin, L. Page - An article that describes an early Google architecture.
Topical TrustRank: Using Topicality to Combat Web Spam  Baoning Wu, Vinay Goel, Brian D. Davison
Towards Scaling Fully Personalized PageRank  Dániel Fogaras, Balázs Rácz
Web Graph and PageRank algorithm  Danil Nemirovsky - The article reviews algorithms of efficient PageRank computation: power method, decomposition, and aggregation/disaggregation.