A System for Ranking Web Pages
Posted: Wed Dec 18, 2024 7:18 am
PageRank is a system for ranking web pages that Google founders Larry Page and Sergey Brin developed at Stanford University. And what's important to understand is that PageRank is about links.
The higher the PageRank of a link, the more authoritative it is.
We can simplify the PageRank algorithm by indian mobile number database describing it as a way to measure the importance of a web page by analyzing the quantity and quality of links pointing to it.
The PageRank score
Perhaps unsurprisingly, PageRank is a complex algorithm that assigns an importance score to a page on the web.
But for day-to-day SEO purposes, PageRank was a linear representation of a logarithmic scale between 0 and 10 that was displayed on the PageRank toolbar.
A PageRank score of 0 would typically indicate a low-quality website, while a score of 10 would represent the most authoritative sites on the web.
The key to understanding PageRank scores is knowing that they use a logarithmic scale. Not sure what that means in layman’s terms?
A logarithmic scale is a way to display numerical data over a very wide range of values in a compact way: typically the largest numbers in the data are hundreds or even thousands of times larger than the smallest numbers.
— Wikipedia
As reported by Search Engine Watch , "It has an estimated base of 4-5. In other words, assuming a base of 5, PR2 links are comparable to 5 PR1 links; a PR6 link is comparable to 5 PR5 links, and so on."
Very quickly, we can see that one PR10 link is comparable to thousands of PR1 links.
The reason SEOs have become obsessed with this metric is that PageRank flows from page to page, meaning that a website can gain authority if it is linked to by another that has a higher PageRank score.
Quite simply, PageRank (which is passed between websites via links) helps a website rank higher and the algorithm is based on the concept that a page is considered important if other important pages link to it.
Google still uses PageRank as part of its algorithm today, but the original patent has expired, and in its original form it hasn’t actually been used since 2006. What we see now is ultimately much more complex.
The higher the PageRank of a link, the more authoritative it is.
We can simplify the PageRank algorithm by indian mobile number database describing it as a way to measure the importance of a web page by analyzing the quantity and quality of links pointing to it.
The PageRank score
Perhaps unsurprisingly, PageRank is a complex algorithm that assigns an importance score to a page on the web.
But for day-to-day SEO purposes, PageRank was a linear representation of a logarithmic scale between 0 and 10 that was displayed on the PageRank toolbar.
A PageRank score of 0 would typically indicate a low-quality website, while a score of 10 would represent the most authoritative sites on the web.
The key to understanding PageRank scores is knowing that they use a logarithmic scale. Not sure what that means in layman’s terms?
A logarithmic scale is a way to display numerical data over a very wide range of values in a compact way: typically the largest numbers in the data are hundreds or even thousands of times larger than the smallest numbers.
— Wikipedia
As reported by Search Engine Watch , "It has an estimated base of 4-5. In other words, assuming a base of 5, PR2 links are comparable to 5 PR1 links; a PR6 link is comparable to 5 PR5 links, and so on."
Very quickly, we can see that one PR10 link is comparable to thousands of PR1 links.
The reason SEOs have become obsessed with this metric is that PageRank flows from page to page, meaning that a website can gain authority if it is linked to by another that has a higher PageRank score.
Quite simply, PageRank (which is passed between websites via links) helps a website rank higher and the algorithm is based on the concept that a page is considered important if other important pages link to it.
Google still uses PageRank as part of its algorithm today, but the original patent has expired, and in its original form it hasn’t actually been used since 2006. What we see now is ultimately much more complex.