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PageRank is a way of measuring the importance of website pages. According to Google: PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. The underlying assumption is that more important websites are likely to receive more links from other websites. [1]
Fig.1. Google matrix of Wikipedia articles network, written in the bases of PageRank index; fragment of top 200 X 200 matrix elements is shown, total size N=3282257 (from [1]) A Google matrix is a particular stochastic matrix that is used by Google's PageRank algorithm. The matrix represents a graph with edges representing links between pages.
Google PageRank (Google PR) is one of the methods Google uses to determine a page's relevance or importance. Important pages receive a higher PageRank and are more likely to appear at the top of the search results. Google PageRank (PR) is a measure from 0 - 10. Google PageRank is based on backlinks.
Ranking of query is one of the fundamental problems in information retrieval (IR), [1] the scientific/engineering discipline behind search engines. [2] Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.
Google PageRank of the main English Wikipedia homepage: . 22 October 2002, 41/100(www.wikipedia.org) 3 November 2002, 7/10 1 December 2002, 8/10 10 January 2003, 8/10 15 March 2003, 7/10 (perhaps Google's algorithm was changed?) 12 April 2003, 7/10 30 May 2003, 7/10 2 October 2003, 8/10 7 November 2003, 8/10 30 January 2004, 8/10 22 October 2004, 8/10 24 December 2004, 8/10 2 July 2005, 9/10 ...
The domain authority (also referred to as thought leadership) of a website describes its relevance for a specific subject area or industry.Domain Authority is a search engine ranking score developed by Moz. [1] This relevance has a direct impact on its ranking by search engines, trying to assess domain authority through automated analytic algorithms.
Keyword density is the percentage of times a keyword or phrase appears on a web page compared to the total number of words on the page. In the context of search engine optimization, keyword density can be used to determine whether a web page is relevant to a specified keyword or keyword phrase.
TrustRank is an algorithm that conducts link analysis to separate useful webpages from spam and helps search engine rank pages in SERPs (Search Engine Results Pages). It is semi-automated process which means that it needs some human assistance in order to function properly.