Wow Brian…I’ve been making and promoting websites full-time since 2006 and just when I thought I’ve seen it all, here you are introducing me to all these innovative ways of getting backlinks that I wasn’t aware of before. I never subscribe to newsletters, but yours is just too good to say no to! Thanks very much for this information. Off to read your other posts now…
What that means to us is that we can just go ahead and calculate a page’s PR without knowing the final value of the PR of the other pages. That seems strange but, basically, each time we run the calculation we’re getting a closer estimate of the final value. So all we need to do is remember the each value we calculate and repeat the calculations lots of times until the numbers stop changing much.
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At the time I was strongly advocating page rank sculting by inclusion of no follow links on “related product” links. It’s interesting to note that my proposed technique would have perhaps worked for a little while then would have lost its effectiveness. Eventualy I reached the point where my efforts delivered diminishing returns which was perhaps unavoidable.
Google will index this link and see that ESPN has a high authority, and there is a lot of trust in that website, but the relevancy is fairly low. After all, you are a local plumber and they are the biggest sports news website in the world. Once it has indexed your website, it can see that they do not have a lot in common. Now, Google will definitely give you credit for the link, but there is no telling how much.
Also hadn’t thought about decreasing the rank value based on the spammyness of sites a page is linking into. My guess on how to do it would be determining the spammyness of individual pages based on multiple page and site factors, then some type of reverse pagerank calcuation starting with the those bad scores, then overlaying that on top of the “good” pagerank calculation as a penalty. This is another thing which would be interesting to play around with in the Nutch algorithm.
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.
But I'm not talking about any kind of link building. I'm talking about organic link building by getting out there and creating insatiable "anchor content" on your website, then linking to that content with equally-great content that's created on authority sites like Medium, Quora, LinkedIn and other publishing platforms. It's not easy by any measure. Google is far more wary of newcomers these days than it once used to be.
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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.
The PageRank theory holds that an imaginary surfer who is randomly clicking on links will eventually stop clicking. The probability, at any step, that the person will continue is a damping factor d. Various studies have tested different damping factors, but it is generally assumed that the damping factor will be set around 0.85. In applications of PageRank to biological data, a Bayesian analysis finds the optimal value of d to be 0.31.
 Matteo Pasquinelli reckons the basis for the belief that PageRank has a social component lies in the idea of attention economy. With attention economy, value is placed on products that receive a greater amount of human attention and the results at the top of the PageRank garner a larger amount of focus then those on subsequent pages. The outcomes with the higher PageRank will therefore enter the human consciousness to a larger extent. These ideas can influence decision-making and the actions of the viewer have a direct relation to the PageRank. They possess a higher potential to attract a user's attention as their location increases the attention economy attached to the site. With this location they can receive more traffic and their online marketplace will have more purchases. The PageRank of these sites allow them to be trusted and they are able to parlay this trust into increased business.
PageRank was developed by Google founders Larry Page and Sergey Brin at Stanford. In fact the name. PageRank is a likely play on Larry Page's name. At the time that Page and Brin met, early search engines typically linked to pages that had the highest keyword density, which meant people could game the system by repeating the same phrase over and over to attract higher search page results. Sometimes web designers would even put hidden text on pages to repeat phrases.