PageRank always was and remains only one part of the Google search algorithm, the system that determines how to rank pages. There are many other ranking factors that are also considered. A high PageRank score did NOT mean that a page would rank well for any topic. Pages with lower scores could beat pages with higher scores if they had other factors in their favor.
As an example, people could previously create many message-board posts with links to their website to artificially inflate their PageRank. With the nofollow value, message-board administrators can modify their code to automatically insert "rel='nofollow'" to all hyperlinks in posts, thus preventing PageRank from being affected by those particular posts. This method of avoidance, however, also has various drawbacks, such as reducing the link value of legitimate comments. (See: Spam in blogs#nofollow)
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?


There are simple and fast random walk-based distributed algorithms for computing PageRank of nodes in a network.[33] They present a simple algorithm that takes {\displaystyle O(\log n/\epsilon )}  rounds with high probability on any graph (directed or undirected), where n is the network size and {\displaystyle \epsilon }  is the reset probability ( {\displaystyle 1-\epsilon } is also called as damping factor) used in the PageRank computation. They also present a faster algorithm that takes {\displaystyle O({\sqrt {\log n}}/\epsilon )}  rounds in undirected graphs. Both of the above algorithms are scalable, as each node processes and sends only small (polylogarithmic in n, the network size) number of bits per round.


Of course, it’s possible that the algorithm has some method of discounting internally reflected (and/or directly reciprocal) links (particularly those in identical headers or footers) to such an extent that this isn’t important. Evidence to support this the fact that many boring pages that are linked to by every page in a good site can have very low PR.
Matt, you don’t mention the use of disallow pages via robots.txt. I’ve read that PageRank can be better utilised by disallowing pages that probably don’t add value to users searching on engines. For example, Privacy Policy and Terms of Use pages. These often appear in the footer of a website and are required by EU law on every page of the site. Will it boost the other pages of the site if these pages are added to robots.txt like so?
A backlink’s value doesn’t only come from the website authority itself. There are other factors to consider as well. You’ll sometimes times hear those in the industry refer to “dofollow” and “nofollow” links. This goes back to the unethical linkbuilding tactics in the early days of SEO. One practices included commenting on blogs and leaving a link. It was an easy method and back then, search engines couldn’t tell the difference between a blog post and other site content.
Matt Cutts, it’s Shawn Hill from Longview, Texas and I’ve got to say, “you’re a semseo guru”. That’s obviously why Google retained you as they did. Very informative post! As head of Google’s Webspam team how to you intend to combat Social Networking Spam (SNS)? It’s becoming an increasingly obvious problem in SERPs. I’m thinking Blogspam should be the least of Google’s worries. What’s your take?
Social Media Marketing - The term 'Digital Marketing' has a number of marketing facets as it supports different channels used in and among these, comes the Social Media. When we use social media channels ( Facebook, Twitter, Pinterest, Instagram, Google+, etc.) to market a product or service, the strategy is called Social Media Marketing. It is a procedure wherein strategies are made and executed to draw in traffic for a website or to gain attention of buyers over the web using different social media platforms.
The probability for the random surfer not stopping to click on links is given by the damping factor d, which is, depending on the degree of probability therefore, set between 0 and 1. The higher d is, the more likely will the random surfer keep clicking links. Since the surfer jumps to another page at random after he stopped clicking links, the probability therefore is implemented as a constant (1-d) into the algorithm. Regardless of inbound links, the probability for the random surfer jumping to a page is always (1-d), so a page has always a minimum PageRank.
Internet usage around the world, especially in the wealthiest countries, has steadily risen over the past decade and it shows no signs of slowing. According to a report by the Internet trend investment firm Kleiner Perkins Caulfield & Byers, 245 million people in the United States were online as of 2011, and 15 million people connected for the first time that year. As Internet usage grows, online commerce grows with it. This means that more people are using the Internet with each passing year, and enough of them are spending money online to impact the economy in significant ways. (See also E-Commerce Marketing)
PageRank is often considered to be a number between 0 and 10 (with 0 being the lowest and 10 being the highest) though that is also probably incorrect. Most SEOs believe that internally the number is not an integer, but goes to a number of decimals. The belief largely comes from the Google Toolbar, which will display a page's PageRank as a number between 0 and 10. Even this is a rough approximation, as Google does not release its most up to date PageRank as a way of protecting the algorithm's details.