An eingenvalues algorithm for calculating reputation in P2P networks and isolating malicious peers. There is a relationship with PageRank algorithm.

The CLEVER search engine incorporates several algorithms that make use of hyperlink structure for discovering information on the Web. It is an extension of Hits method.

Information on the algorithm, how to increase PageRank, what diminishes it and how to distribute PageRank within a website.

A focused search algorithm (SALSA) based on Markov chains. It starts with a query on a broad topic, discards useless links, and then weights the remaining terms. A stochastic crawl is used to discover the authorities on this topic. [PS format]

It shows some theoretical results for understanding the distribution of the score in the Web according to PageRank. Seven golden rules for building good pages are presented.

Lawrence Page's PageRank Patent.

A poster paper by Stanford db group which describes iterative methods for calculating PageRank.

Lossy encoding for large scale PageRank calculation.

Postscript-format slides which introduces citation importance ranking by Larry Page, Google's founder.

It proposes a new weighted HITS-based method that assigns appropriate weights to in-links of root documents and combines content analysis with HITS-based algorithms.