Definition and Purpose of PageRank Algorithm
– PageRank is a link analysis algorithm
– It assigns numerical weighting to elements of a hyperlinked set of documents
– It measures relative importance within the set
– The algorithm can be applied to any collection of entities with reciprocal quotations and references
– The numerical weight assigned to an element is called PageRank

Application of PageRank Algorithm
– PageRank can be applied to the World Wide Web
– It considers authority hubs such as cnn.com or mayoclinic.org
– The algorithm is based on the webgraph created by all web pages and hyperlinks
– The rank value indicates the importance of a particular page
– A hyperlink to a page counts as a vote of support

Calculation of PageRank
– PageRank is defined recursively
– It depends on the number and PageRank metric of all pages that link to it (incoming links)
– The more incoming links a page has, the higher its PageRank
– PageRank calculation takes into consideration the quality and relevance of incoming links
– The algorithm assigns higher PageRank to pages with authoritative and relevant links

Importance of PageRank
– PageRank helps determine the visibility and prominence of web pages
– It impacts search engine rankings
– Pages with higher PageRank are more likely to appear at the top of search results
– PageRank influences the credibility and trustworthiness of a page
– It is a key factor in search engine optimization (SEO) strategies

Influence of PageRank
– PageRank has revolutionized web search and information retrieval
– It has influenced the development of other ranking algorithms
– PageRank introduced the concept of link analysis and importance of hyperlink structure
– The algorithm has shaped the way search engines evaluate and rank web pages
– PageRank continues to be a fundamental component of modern search engine algorithms.  Source: https://en.wikipedia.org/wiki/PageRank

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