Google pageRank is essentially an algorithm that was developed by Larry Page and Sergey Brin in the late 1990s at the Stanford University as a part of a research project. Though, presently Google owns the name pageRank, its patent rights still lie with the Stanford University. Despite the fact that there are various tools and techniques available to Google for its web searching procedure, the pageRank is still the most important foundation.
The system of algorithm, which is followed by the functioning of pageRank, is mainly analytical in nature. It basically allocates a sort of a statistical emphasis to each of the page that is connected to a network of other pages in the World Wide Web. The basic intention of carrying out this procedure is to determine or evaluate the relative significance of a particular page or a hyper linked document within the existing network. The procedure involved in assessing this weighing up takes in to account a unique form of voting system where each and every interconnected set of pages are considered both as a candidate as well as a caster. To be more detailed, every hyper linked page is scrutinized thoroughly to find out the other pages to and from which they are hooked up. In the process, every link from a particular page to another is regarded as a ballot for the later page by the former. Thus, pages with maximum links end up enjoying a high pageRank represented as PR(page) and so on.