PageRank: A novel approach

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, with the purpose of "measuring" its relative importance within the set. The algorithm may 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 and denoted by {displaystyle PR(E).}PR(E).A PageRank results from a mathematical algorithm based on the webgraph, created by all World Wide Web pages as nodes and hyperlinks as edges, taking into consideration authority hubs such as cnn.com or mayoclinic.org. 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"). A page that is linked to by many pages with high PageRank receives a high rank itself.

Autorentext

Vikesh Shakya is working as an IT Expert in Jiwaji University, Gwalior, Madhya Pradesh, India. He has done his M.Tech in Computer Science & Engineering. He has about 2 years of academic experience and 1 year of research experience. His research area is Data mining and Web mining. He has published two research papers in international journals.