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PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page. PageRank is a way of measuring the importance of website pages. According to Google:
Website Domain name Ranking Type Company / Nonprofit organization Country Similarweb (November 2024) Semrush (November 2024) Google Search: google.com: 1 () 1 () Search Engine Google United States YouTube: youtube.com: 2 () 2 () Video-sharing platform Google United States Facebook: facebook.com: 3 () 3 () Social Media Networks Meta United ...
Google Search uses algorithms to analyze and rank websites based on their relevance to the search query. It is the most popular search engine worldwide. Google Search is the most-visited website in the world. As of 2020, Google Search has a 92% share of the global search engine market. [3]
One thing the most visited websites have in common is that they are dynamic websites. Their development typically involves server-side coding, client-side coding and database technology. The programming languages applied to deliver such dynamic web content vary vastly between sites.
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.
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.
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Google Panda is a major change to Google's search results ranking algorithm that was first released in February 2011. The change aimed to lower the rank of "low-quality sites" or "thin sites", [1] in particular "content farms", [2] and return higher-quality sites near the top of the search results.
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