I segmented different verticals, did a Google search to see which website ranked #1 for that query (keep in mind that I performed this search using a VPN and not at the targeted location to get 'cleaner' results, so yours would be different, especially for local types of businesses), added it to my list, and then averaged out the percentages of link types (which I pulled from ahrefs.com). Click the link below to see my dataset.
If you're serious about finding your voice and discovering the secrets to success in business, one of the best people to follow is Gary Vanyerchuck, CEO of Vayner Media, and early-stage invest in Twitter, Uber and Facebook, has arbitraged his way into the most popular social media platforms and built up massive followings and often spills out the secrets to success in a highly motivating and inspiring way.
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 usa.gov. 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.
Assume a small universe of four web pages: A, B, C and D. Links from a page to itself, or multiple outbound links from one single page to another single page, are ignored. PageRank is initialized to the same value for all pages. In the original form of PageRank, the sum of PageRank over all pages was the total number of pages on the web at that time, so each page in this example would have an initial value of 1. However, later versions of PageRank, and the remainder of this section, assume a probability distribution between 0 and 1. Hence the initial value for each page in this example is 0.25.
Say I have an article on a blog with 5 links in the editorial copy — some of those links leading back to other content within the blog that I hope to do well. Then I get 35 comments on the article, with each comment having a link back to the commenters’ sites. That’s 40 links in all. Let’s say this particular page has $20 in PageRank to spend. Each link gets 50 cents.
Thanks for the post Chelsea! I think Google is starting to move further away from PageRank but I do agree that a higher amoount of links doesn’t necessarily mean a higher rank. I’ve seen many try to shortcut the system and end up spending weeks undoing these “shortcuts.” I wonder how much weight PageRank still holds today, considering the algorithms Google continues to put out there to provide more relevant search results.
Ian Rogers first used the Internet in 1986 sending email on a University VAX machine! He first installed a webserver in 1990, taught himself HTML and perl CGI scripting. Since then he has been a Senior Research Fellow in User Interface Design and a consultant in Network Security and Database Backed Websites. He has had an informal interest in topology and the mathematics and behaviour of networks for years and has also been known to do a little Jive dancing.
Peter made a very good point in all of this, and Michael Martinez did in a backhanded way as well. Talking about a concept related PageRank sounds cool. It doesn’t actually have to be useful or practical, and it usually isn’t; but as long as the impression of something productive is given off, then that can be all that matters in the eyes of those who lack sufficient knowledge.

There are also many keyword research tools (some free and some paid) that claim to take the effort out of this process. A popular tool for first timers is Traffic Travis, which can also analyse your competitors’ sites for their keyword optimization strategies and, as a bonus, it can deliver detailed analysis on their back-linking strategy, too. You can also use Moz.com’s incredibly useful keyword research tools – they’re the industry leader, but they come at a somewhat higher price.
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In my experience this means (the key words are “not the most effective way”) a page not scored by Google (“e.g. my private link” – password protected, disallowed via robots.txt and/or noindex meta robots) whether using or not using rel=”nofollow” attribute in ‘links to’ is not factored into anything… because it can’t factor in something it isn’t allowed.
I think that removing the link to the sitemap shouldn’t be a big problem for the navigation, but I wonder what happens with the disclaimer and the contact page? If nofollow doesn’t sink the linked page, how can we tell the search engine that these are not content pages. For some websites these are some of the most linked pages. And yes for some the contact page is worth gaining rank, but for my website is not.
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