If you want to concentrate the PR into one, or a few, pages then hierarchical linking will do that. If you want to average out the PR amongst the pages then "fully meshing" the site (lots of evenly distributed links) will do that - examples 5, 6, and 7 in my above. (NB. this is where Ridings’ goes wrong, in his MiniRank model feedback loops will increase PR - indefinitely!)

Brian, this is the web page that everybody over the entire Internet was searching for. This page answers the million dollar question! I was particularly interested in the food blogs untapped market, who doesn’t love food. I have been recently sent backwards in the SERP and this page will help immensely. I will subscribe to comments and will be back again for more reference.
A great number of public networks call themselves “private”. That’s not true. If the network is advertised, it cannot be private. We witnessed cases when Google destroyed such public networks and all the websites which had used them. They are easy to be revealed due to a huge number of outbound homepage links which are irrelevant to each other. Their posts are short, and they cannot really block SEO crawlers.
On the other hand, if your friend Ben launches a website tomorrow to provide plumbing industry information for consumers and includes a list of the best plumbers in Tucson and includes your business on the list, this may not get too much of a boost in the short ter. Though it meets the criteria of relevancy, the website is too new to be a trusted authority.
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. 
Establishment of customer exclusivity: A list of customers and customer's details should be kept on a database for follow up and selected customers can be sent selected offers and promotions of deals related to the customer's previous buyer behaviour. This is effective in digital marketing as it allows organisations to build up loyalty over email.[22]
Google will like your content if your clients like it. The content should be helpful and contain less information which is already known to the reader. It is to meet their expectations. When users vote for your site, it means that Google starts accepting it as an authority site. That’s why content writing is as important as a speech of a candidate for the Presidency. The better it is, the more visitors you have.
The mathematics of PageRank are entirely general and apply to any graph or network in any domain. Thus, PageRank is now regularly used in bibliometrics, social and information network analysis, and for link prediction and recommendation. It's even used for systems analysis of road networks, as well as biology, chemistry, neuroscience, and physics.[45]
In 2005, in a pilot study in Pakistan, Structural Deep Democracy, SD2[61][62] was used for leadership selection in a sustainable agriculture group called Contact Youth. SD2 uses PageRank for the processing of the transitive proxy votes, with the additional constraints of mandating at least two initial proxies per voter, and all voters are proxy candidates. More complex variants can be built on top of SD2, such as adding specialist proxies and direct votes for specific issues, but SD2 as the underlying umbrella system, mandates that generalist proxies should always be used.

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.
Pay per click (PPC) advertising, commonly referred to as Search Engine Marketing, delivers targeted traffic and conversions and will yield results faster than organic search engine optimization. Successful PPC marketing programs offer incredible revenue and brand-building opportunities. However, without a thorough understanding of how PPC works, it is very easy to mismanage valuable advertising budgets. That’s where we come in!

In my view, the Reasonable Surfer model would findamentally change the matrix values above, so that the same overall PageRank is apportioned out of each node, but each outbound link carres a different value. In this scenario, you can indeed make the case that three links will generate more traffic than one, although the placement of these links might increase OR DECREASE the amount of PageRank that is passed, since (ultimately) the outbound links from page A to Page B are dependent on the location of all other outbound links on Page A. But this is the subject of another presentation for the future I think.
[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 search engine considers the content of the sites to determine the QUALITY of a link. When inbound links to your site come from other sites, and those sites have content related to your site, these inbound links are considered more relevant to your site. If inbound links are found on sites with unrelated content, they are considered less relevant. The higher the relevance of inbound links, the greater their quality.
It is important for a firm to reach out to consumers and create a two-way communication model, as digital marketing allows consumers to give back feed back to the firm on a community based site or straight directly to the firm via email.[24] Firms should seek this long term communication relationship by using multiple forms of channels and using promotional strategies related to their target consumer as well as word-of mouth marketing.[24]
While ordinary users were not that interested in pages' scores, SEOs of a different caliber felt that this was a great opportunity to make a difference for their customers. This obsession of SEOs with PageRank made everyone feel that this ranking signal is more or less the only important one. In spite of the fact that pages with a lower PR score can beat those with a higher score! What did we receive then, as a result?
Marketing managers need to be conversant in every element of a marketing campaign, and considering the importance of an Internet presence in any marketing plan today, this means having a clear understanding of Internet marketing from start to finish. A marketing manager should have confidence in his or her team and know how to facilitate work efficiency and communication between coworkers. This keeps each project on schedule and helps create a relaxed work environment.
Google will like your content if your clients like it. The content should be helpful and contain less information which is already known to the reader. It is to meet their expectations. When users vote for your site, it means that Google starts accepting it as an authority site. That’s why content writing is as important as a speech of a candidate for the Presidency. The better it is, the more visitors you have.
But, why do search engines care about backlinks? Well, in the early days of the Internet, search engines were very simple, and relied strictly on keyword matching. It didn’t matter how good the content on a website was, how popular it was, or what the website was for–if a phrase on a page matched a phrase that someone searched for, then that page would likely show up. That meant that if someone had an online journal in which they documented at length how they had to take their car to a “car accident repair shop,” then people searching for a “car accident repair shop” would likely be led to that page. Not terribly useful, right?
Wikipedia, naturally, has an entry about PageRank with more resources you might be interested in. It also covers how some sites using redirection can fake a higher PageRank score than they really have. And since we’re getting all technical — PageRank really isn’t an actual 0 to 10 scale, not behind the scenes. Internal scores are greatly simplified to match up to that system used for visible reporting.
We have a saying that “good data” is better than “big data.” Bid data is a term being thrown around a lot these days because brands and agencies alike now have the technology to collect more data and intelligence than ever before. But what does that mean for growing a business. Data is worthless without the data scientists analyzing it and creating actionable insights. We help our client partners sift through the data to gleam what matters most and what will aid them in attaining their goals.

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