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The formula uses a model of a random surfer who gets bored after several clicks and switches to a random page. The PageRank value of a page reflects the chance that the random surfer will land on that page by clicking on a link. It can be understood as a Markov chain in which the states are pages, and the transitions, which are all equally probable, are the links between pages.

The role of a social media manager is easy to infer from the title, but which social networks they manage for the company depends on the industry. Above all, social media managers establish a posting schedule for the company's written and visual content. This employee might also work with the content marketing specialist to develop a strategy for which content to post on which social network.
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.
The overall rule of thumb? Focus, focus, focus. Organic search engine optimization is a PR-based, long-term attempt to grow your brand and image. Pay per click advertising, however, should be handled like any other form of paid advertising: proactively, and with a clear, quantifiable short- or medium-term goal in mind. In other words: concentrate on conversions, not just clicks.
Consumer ratings are extra annotations that promote business ratings based on various customer surveys. This extension is only found in Google and is automatically populated. Google pulls these ratings from trusted sources and specifies that businesses must have at least 30 unique reviews in order to show. Consumer rating extensions are determined only for certain businesses and industries based on Google’s discretion.
For instance, if you have an article called “How To Do Keyword Research,” you can help reinforce to Google the relevance of this page for the subject/phrase “keyword research” by linking from an article reviewing a keyword research tool to your How To Do Keyword Research article. This linking strategy is part of effective siloing, which helps clarify your main website themes.
The default page of Google’s search result is a page on which different results appear. Google decides which results fit your search query best. That could be ‘normal’ results, but also news results, shopping results or images. If you’re searching for information, a knowledge graph could turn up. When you’re searching to buy something online, you’ll probably get lots of shopping results on the default result page.
How many times do we need to repeat the calculation for big networks? That’s a difficult question; for a network as large as the World Wide Web it can be many millions of iterations! The “damping factor” is quite subtle. If it’s too high then it takes ages for the numbers to settle, if it’s too low then you get repeated over-shoot, both above and below the average - the numbers just swing about the average like a pendulum and never settle down.
Direct-response business: If you sell a product or offer a service that folks can purchase the moment they arrive at your web site, pay per click is a great tool. Online stores are a great example: You know that each click generated is a real potential customer, so spending money to increase the number of clicks makes sense. Staying as prominent as possible within a search result equates to immediate ROI, so you may never want to turn it off. You or your agency are simply testing and optimizing to keep those ongoing costs as low as possible day by day, and month by month.
PageRank is only a score that represents the importance of a page, as Google estimates it (By the way, that estimate of importance is considered to be Google’s opinion and protected in the US by the First Amendment. When Google was once sued over altering PageRank scores for some sites, a US court ruled: “PageRanks are opinions — opinions of the significance of particular Web sites as they correspond to a search query….the court concludes Google’s PageRanks are entitled to full constitutional protection.)
The development of digital marketing is inseparable from technology development. One of the key points in the start of was in 1971, where Ray Tomlinson sent the very first email and his technology set the platform to allow people to send and receive files through different machines [8]. However, the more recognisable period as being the start of Digital Marketing is 1990 as this was where the Archie search engine was created as an index for FTP sites. In the 1980s, the storage capacity of computer was already big enough to store huge volumes of customer information. Companies started choosing online techniques, such as database marketing, rather than limited list broker.[9] This kind of databases allowed companies to track customers' information more effectively, thus transforming the relationship between buyer and seller. However, the manual process was not so efficient.
It is increasingly advantageous for companies to use social media platforms to connect with their customers and create these dialogues and discussions. The potential reach of social media is indicated by the fact that in 2015, each month the Facebook app had more than 126 million average unique users and YouTube had over 97 million average unique users.[27]

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.
Customer demand for online services may be underestimated if you haven"t researched this. Perhaps, more importantly, you won't understand your online marketplace: the dynamics will be different to traditional channels with different types of customer profile and behaviour, competitors, propositions, and options for marketing communications. There are great tools available from the main digital platforms where we can find out the level of customer demand, we recommend doing a search gap analysis using Google's Keyword planner to see how you are tapping into the intent of searchers to attract them to your site, or see how many people interested in products or services or sector you could reach through Facebook IQ.
And now it’s 2016. A time where an effective local business search campaign needs to include all of these tactics, not just one. Half-baked efforts won't work anymore. A deep dive into each individual marketing tactic will show you that what was enough to maintain a decent search presence in the past won't produce the same outcome and potential ROI today. Local business owners need to employ these tactics correctly from the beginning and invest the time and money to build their brand online in an effort to achieve what I call “The Ideal SERP.”
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.[43]
Whether or not the overall range is divided into 10 equal parts is a matter for debate – Google aren’t saying. But because it is much harder to move up a toolbar point at the higher end than it is at the lower end, many people (including me) believe that the divisions are based on a logarithmic scale, or something very similar, rather than the equal divisions of a linear scale.

In 1998, two graduate students at Stanford University, Larry Page and Sergey Brin, developed "Backrub", a search engine that relied on a mathematical algorithm to rate the prominence of web pages. The number calculated by the algorithm, PageRank, is a function of the quantity and strength of inbound links.[21] PageRank estimates the likelihood that a given page will be reached by a web user who randomly surfs the web, and follows links from one page to another. In effect, this means that some links are stronger than others, as a higher PageRank page is more likely to be reached by the random web surfer.
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