A decent article which encourages discussion and healthy debate. Reading some of the comments I see it also highlights some of the misunderstandings some people (including some SEOs) have of Google PageRank. Toolbar PageRank is not the same thing as PageRank. The little green bar (Toolbar PageRank) was never a very accurate metric and told you very little about the value of any particular web page. It may have been officially killed off earlier this year, but the truth is its been dead for many years. Real PageRank on the other hand, is at the core of Google’s algorithm and remains very important.
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The green ratings bars are a measure of the importance Google’s assessment of the importance of a web page, as determined by Google’s patented PageRank technology and other factors. These PageRank bars tell you at a glance whether other people on the web consider Google considers a page to be a high-quality site worth checking out. Google itself does not evaluate or endorse websites. Rather, we measure what others on the web feel is important enough to deserve a link. And because Google does not accept payment for placement within our results, the information you see when you conduct a search is based on totally objective criteria.
Quite simply, a backlink is one website mentioning another website and linking to it. It is not merely referencing the website or it’s web address. It has to be a clickable link using an href attribute within the code. It is the difference between http://www.moz.com and Moz. Even though the first example displays a URL, the search engines do not register this as a backlink, whereas the word that has a link (often underlined and in a different color), is.
The PageRank algorithm outputs a probability distribution used to represent the likelihood that a person randomly clicking on links will arrive at any particular page. PageRank can be calculated for collections of documents of any size. It is assumed in several research papers that the distribution is evenly divided among all documents in the collection at the beginning of the computational process. The PageRank computations require several passes, called “iterations”, through the collection to adjust approximate PageRank values to more closely reflect the theoretical true value.

This is what happens to the numbers after 15 iterations…. Look at how the 5 nodes are all stabilizing to the same numbers. If we had started with all pages being 1, by the way, which is what most people tell you to do, this would have taken many more iterations to get to a stable set of numbers (and in fact – in this model – would not have stabilized at all)
As Rich White also said in the comments, just because PR scores are no longer visible doesn’t mean PageRank is a thing of the past. It still matters a lot. PR remains one of Google’s 200+ ranking factors. You need to receive links from quality, on-topic web pages and then properly manage that PR through your website through siloing. These are powerful things you can do to boost your pages’ relevance in search.
One final note is that if the links are not directly related to the subject, or you have no control over them, such as commentors’ website links, maybe you should consider putting them on another page, which links to your main content. That way you don’t leak page rank, and still gain hits from search results from the content of the comments. I may be missing something but this seems to mean that you can have your cake and eat it, and I don’t even think it is gaming the system or against the spirit of it. You might even gain a small sprinkling of page rank if the comment page accumulates any of it’s own.
I really appreciate that you keep us updated as soon as you can, but in some cases, e.g. WRT rel-nofollow, the most appreciated update would be the removal of this very much hated and pretty useless microformat. I mean, when you’ve introduced it because the Google (as well as M$, Yahoo and Ask) algos were flawed at this time, why not take the chance and dump it now when it’s no longer needed?
where N is the total number of all pages on the web. The second version of the algorithm, indeed, does not differ fundamentally from the first one. Regarding the Random Surfer Model, the second version's PageRank of a page is the actual probability for a surfer reaching that page after clicking on many links. The PageRanks then form a probability distribution over web pages, so the sum of all pages' PageRanks will be one.
A: I pretty much let PageRank flow freely throughout my site, and I’d recommend that you do the same. I don’t add nofollow on my category or my archive pages. The only place I deliberately add a nofollow is on the link to my feed, because it’s not super-helpful to have RSS/Atom feeds in web search results. Even that’s not strictly necessary, because Google and other search engines do a good job of distinguishing feeds from regular web pages.
For instance, you might use Facebook’s Lookalike Audiences to get your message in front of an audience similar to your core demographic. Or, you could pay a social media influencer to share images of your products to her already well-established community. Paid social media can attract new customers to your brand or product, but you’ll want to conduct market research and A/B testing before investing too much in one social media channel.
Search engines may penalize sites they discover using black hat methods, either by reducing their rankings or eliminating their listings from their databases altogether. Such penalties can be applied either automatically by the search engines' algorithms, or by a manual site review. One example was the February 2006 Google removal of both BMW Germany and Ricoh Germany for use of deceptive practices.[53] Both companies, however, quickly apologized, fixed the offending pages, and were restored to Google's list.[54]
So enough of these scary stories. Google actually likes backlinks and relies upon them. The whole idea behind them is that they help to tell Google what is good and useful out there. Remember, it is still an algorithm. It doesn’t know that your page describing the best technique for restoring a 1965 Ford Mustang bumper is all that great. But if enough people are talking about how great it is, and thereby referencing that page on other websites, Google will actually know.
In the 2000s, with more and more Internet users and the birth of iPhone, customers started searching products and making decisions about their needs online first, instead of consulting a salesperson, which created a new problem for the marketing department of a company. In addition, a survey in 2000 in the United Kingdom found that most retailers had not registered their own domain address.[12] These problems made marketers find the digital ways for market development.
One of the consequences of the PageRank algorithm and its further manipulation has been the situation when backlinks (as well as link-building) have been usually considered black-hat SEO. Thus, not only Google has been combating the consequences of its own child's tricks, but also mega-sites, like Wikipedia, The Next Web, Forbes, and many others who automatically nofollow all the outgoing links. It means fewer and fewer PageRank votes. What is then going to help search engines rank pages in terms of their safety and relevance?
[43] Katja Mayer views PageRank as a social network as it connects differing viewpoints and thoughts in a single place. People go to PageRank for information and are flooded with citations of other authors who also have an opinion on the topic. This creates a social aspect where everything can be discussed and collected to provoke thinking. There is a social relationship that exists between PageRank and the people who use it as it is constantly adapting and changing to the shifts in modern society. Viewing the relationship between PageRank and the individual through sociometry allows for an in-depth look at the connection that results.
A decent article which encourages discussion and healthy debate. Reading some of the comments I see it also highlights some of the misunderstandings some people (including some SEOs) have of Google PageRank. Toolbar PageRank is not the same thing as PageRank. The little green bar (Toolbar PageRank) was never a very accurate metric and told you very little about the value of any particular web page. It may have been officially killed off earlier this year, but the truth is its been dead for many years. Real PageRank on the other hand, is at the core of Google’s algorithm and remains very important. 

I work on a site that allows users to find what they are looking for by clicking links that take them deeper and deeper into the site hierarchy. Content can be categorised in lots of different ways. After about three steps the difference between the results pages shown is of significance to a user but not to a search engine. I was about to add nofollow to links that took the browser deeper than 3 levels but after this announcement I won’t be…
This still encourages larger, more professionally run websites not to ‘share the wealth’ of PageRank to other sites. How is a small niche website ever going to get decent results in SERPS if when a bigger site does link to it, it nofollows the link? Not passing any PageRank benefit, or anchor text through the link does nothing to encourage smaller more specialised sites – it encourages the bigger, broader sites to hoard the goodness.
The numbers didn’t quite sit right with me because there didn’t seem to be enough juicy inbound links to the winning page. Then I noticed that two key links were missing from the 10 node chart with the PageRank metrics on it when compared to the previous chart without the metrics. The two missing links are the two coming from node 2 to node 1. Suddenly it all made sense again and it was obvious why that page won.
2. Does a nofollowed INTERNAL link also bleed PageRank? Doesn’t that actively punish webmasters who use nofollow in completely . I think Danny makes the case that nofollow at the link level isn’t a cure for duplicate content, but many hosted sites and blogs don’t have the full range of technical options at their disposal. I myself use a hosted service that’s excellent for SEO in many ways but doesn’t give me a per-page HTML header in which to put a canonical link tag. Conclusion: Google would rather we NOT hide duplicate content if nofollow is the most straightforward way to do it.
Links still matter as part of the algorithmic secret sauce. The influence of a site’s link profile is plain to see in its search engine rankings, whether for better or worse, and changes in that link profile cause noticeable movement up or down the SERP. An SEO’s emphasis today should be on attracting links to quality content naturally, not building them en masse. (For more on proper link building today, see http://bit.ly/1XIm3vf )
The paper’s authors noted that AltaVista (on the right) returned a rather random assortment of search results–rather obscure optical physics department of the University of Oregon, the campus networking group at Carnegie Mellon, Wesleyan’s computer science group, and then a page for one of the campuses of a Japanese university. Interestingly, none of the first six results return the homepage of a website
Business address listings on Google, Yelp, LinkedIn, Facebook, Yellow Pages, and elsewhere count as backlinks. Perhaps more importantly, they also go a long ways towards helping customers find your business! There are many, many such sites. A good way to approach this once you've gotten the biggies out of the way - Google should be your first priority - is to make a point of setting up a couple new citation profiles every week or so. Search around for updated lists of reputable business listing sites, and use it as a checklist.
More appropriately, blame Google for ever making the PageRank score visible. When Google first started, PageRank was something it talked about as part of its research papers, press releases and technology pages to promote itself as a smarter search engine than well-established and bigger rivals at the time — players like Yahoo, AltaVista and Lycos, to name a few.

Websites often employ SEO techniques to increase the number of backlinks pointing to their website. Some methods are free for use by everyone whereas some methods, like linkbaiting, require quite a bit of planning and marketing to work. There are also paid techniques to increase the number of backlinks to a target site. For example, private blog networks can be used to purchase backlinks.
Some backlinks are inherently more valuable than others. Followed backlinks from trustworthy, popular, high-authority sites are considered the most desirable backlinks to earn, while backlinks from low-authority, potentially spammy sites are typically at the other end of the spectrum. Whether or not a link is followed (i.e. whether a site owner specifically instructs search engines to pass, or not pass, link equity) is certainly relevant, but don't entirely discount the value of nofollow links. Even just being mentioned on high-quality websites can give your brand a boost.

If you’re using SEM as a strategy, you’ll need to test and evaluate your keywords. A good rule of thumb is that for every 100 clicks you get, you’ll get between 3 and 10 enquiries. So, to conduct an efficient test, you’ll want to test around 1,000 clicks. That means setting your budget for Adwords at 1,000 times the cost of the click. If you find that this is going to cost too much, you’ll need to find other keywords or a different marketing strategy.
Me, I didn’t like the sculpting idea from the start. I linked to what I thought should get links and figured that was pretty natural, to have navigational links, external links and so on — and natural has long been the think Google’s rewarded the most. So I didn’t sculpt, even after Matt helped put it out there, because it just made no long term sense to me.
The course work of a marketing program will consist of real-world and hands-on components, such as case studies of both successful and failed marketing campaigns, and simulated businesses marketed by students using the concepts they have learned. This will include diving into several computer programs like Adobe InDesign and Dreamweaver, as well as both free and proprietary website analytics software.
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).} Other factors like Author Rank can contribute to the importance of an entity. 
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