Page Ranking

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First The Basics:

Page Rank: the actual rank for each page calculated by Google. As we’ll see later this can range from 0.15 to billions.
Toolbar PR: The Page Rank displayed in the Google toolbar in your browser. This ranges from 0 to 10.
Backlink:If page A links out to page B, then page B is said to have a “backlink” from page A.

Throughout this article, you will find many links to define certain terminology given the complexity of this subject matter.

What is Page Rank?

PageRank is an algorithm that Google Search uses to rank web pages in their search engine results. PageRank gets its name after Larry Page. He is one of the founders of Google. This is a way of measuring the importance of website pages.

It is important to note that 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. PageRank is not the only algorithm used by Google to order search results. However, it is the first algorithm that was used by the company, and it is the best known.

PageRank is a link analysis algorithm and it assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web. The purpose of this being, it measures its relative importance within the set. The algorithm can be applied to any collection of entities with reciprocal quotations and references. The numerical weight that it assigns to any given element E is referred to as the PageRank of E

How does Page Rank work?

In conclusion, a PageRank results from a mathematical algorithm based on the webgraph. Created by all World Wide Web pages as nodes and hyperlinks as edges. The rank value indicates an importance of a particular page. A hyperlink to a page counts as a vote of support. The PageRank of a page is defined recursively and depends on the number and PageRank metric of all pages that link to it “incoming links“. In other words, it is a page that is linked to many pages with high PageRank receives a high rank itself.

If you are interested, there are numerous academic papers concerning PageRank. In practice, the PageRank concept may be vulnerable to manipulation. Research has been and will only continue to be conducted into identifying falsely influenced PageRank rankings. The goal is to find an effective means of ignoring links from documents with falsely influenced PageRank.

Other link-based ranking algorithms for Web pages include the HITS algorithm invented by Jon Kleinberg,the IBM CLEVER project, the TrustRank algorithm and the Hummingbird algorithm.

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