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PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It was named after Larry Page, one of the founders of Google. PageRank measures the importance of website pages by counting the number and quality of links to a page, assuming that more important websites are likely to receive more links from other websites1.
How PageRank Works
PageRank assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, to measure its relative importance within the set. The algorithm is based on the webgraph, where web pages are nodes and hyperlinks are edges. The rank value indicates the importance of a particular page. A hyperlink to a page counts as a vote of support1.
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). A page that is linked to by many pages with high PageRank receives a high rank itself1.
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PageRank - Wikipedia
The PageRank of an undirected graph is statistically close to the degree distribution of the graph , but they are generally not identical: If is the PageRank vector defined above, and is the degree distribution vector
where denotes the degree of vertex , and is the edge-set of the graph, then, with , shows that:
that is, the PageRank of an undirected graph equals to the degree distribution vector if and onl…Wikipedia · Text under CC-BY-SA license- Estimated Reading Time: 9 mins
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