October 15, at am. October 10, at pm. September 1, at pm. Netking Technologies. August 12, at am. Business Pro Tech.
August 13, at am. August 11, at pm. August 10, at pm. Ekwik Classes. August 6, at pm. July 26, at am. Abhishek sinha. July 19, at am. Farhan Ali. July 26, at pm. July 7, at am. June 28, at am. June 25, at am. June 16, at am.
June 15, at am. May 15, at am. Marchus Shane. May 7, at am. April 29, at am. April 26, at pm. April 19, at am. April 7, at am. John Loyatt. March 17, at pm. March 16, at pm. Tejarat Marketing. March 4, at am. February 11, at am. Whiz Advert. February 5, at am. Rakhi Store India. January 28, at am. January 24, at pm. January 22, at pm.
January 20, at am. SEO Services in Punjab. January 18, at am. January 11, at am. Indian SEO Agency. January 8, at am. January 7, at pm. Web Development Company in Chennai.
January 5, at am. The Digital Soda. December 12, at pm. Mansi Goel. December 6, at am. Valencio Caccaire. November 16, at am. Sunny Dean. November 13, at pm. November 12, at pm. Santhosh Muralidhar. November 6, at pm. November 4, at am. Vedavyasa Huli. October 27, at am. October 27, at pm. October 24, at pm. Cliff Horne. October 20, at am. Saravanakumar Athikesavan. October 16, at pm. October 1, at am. Hatim Patel. September 6, at pm. Bis Kerala Matrimony.
SEO learner Nipu. August 31, at am. Peter Bastian. September 1, at am. August 29, at am. Priyanka Singh. August 5, at am. Archit Chenoy. July 22, at am. July 20, at pm. Steven Bayley. July 18, at am. Brittany Wolfe. July 1, at pm. June 19, at am. June 11, at am. Akash Agarwal. June 9, at am. White Hat Ranker. May 20, at pm. May 17, at am. Shashank Negi.
May 20, at am. May 13, at pm. May 10, at am. August 30, at pm. August 24, at am. Sabbir Jafri. August 11, at am. Jim Cullen. August 10, at am. August 6, at am. Awan Aprilino. August 8, at pm. August 3, at am. SEO Consultant Melbourne. July 29, at am. Jarec Cheong. Harpreet Kumar. July 17, at pm. July 16, at pm.
July 12, at am. July 13, at am. July 5, at pm. Andrew Broadbent. July 5, at am. July 2, at pm. Matthew Haeck. June 25, at pm. June 15, at pm. Marfani Group. June 14, at pm. Peter Pero. June 12, at pm. Mike chrest. The reason why SEOs became so fixated on this metric is that PageRank passes from one page to another, meaning that a website can gain authority by being linked to from another that has a higher PageRank score.
Quite simply, PageRank that is passed between websites by links helps a website to rank higher, and the algorithm is based around the concept that a page is deemed to be important if other important pages link to it. Google still uses PageRank as part of its algorithm today, but the original patent has expired and, in this original form, hasn't actually been used since , and the one that we now see is ultimately far more complex.
The first PageRank patent was filed on September 1, , and became the original algorithm that Google used to calculate the importance of a web page and rank these. In short, Google was literally formed based upon Sergey Brin's idea that information on the web could be ranked based upon a page's link popularity, that the more links point to a page, the higher it ranks. And if we take a look at the paper that introduced Google , we can clearly see PageRank referenced when explaining the search engine's features:.
The Google search engine has two important features that help it produce high precision results. First, it makes use of the link structure of the Web to calculate a quality ranking for each web page. This ranking is called PageRank and is described in detail in [Page 98]. Second, Google utilizes link to improve search results.
The paper goes on to explain that, "The citation link graph of the web is an important resource that has largely gone unused in existing web search engines.
In , Google introduced the toolbar that we all now come to remember as the way in which we could see our site's and our competitors' PageRank score. As a result of this, SEOs began to become fixated solely on increasing PageRank as a metric for improving rankings, driven largely by a simplified understanding of the algorithm that suggested that a web page with the highest number of links should rank the highest.
A simple explanation of the approach by many in the early s was that their goal was to get as many links as possible from web pages with as high PageRank as possible. This, of course, began to see PageRank manipulated, with money changing hands for links as well as what many of us will remember as link farms. Fast track almost 15 years, and Google would stop updating this public-facing toolbar in with the last confirmed update being December and retire it completely in Of course, this doesn't mean that Google stopped using PageRank as part of the algorithm, just that it stopped being a public-facing metric.
The original PageRank patent from expired in and, to the surprise of many, wasn't renewed. Around this time, a former Google employee confirmed that the original algorithm hadn't been used since The original patent was replaced by this new one. To fully understand the differences with the original, we recommend you read Bill Slawski's analysis here.
This new patent references "seed sites in the trusted seed sets" and defines these as " The new patent looked to give a ranking score to a web page based upon how far away it is from a seed set. That said, this patent doesn't actually reference PageRank or claim to be an updated version of the algorithm.
Rather, it has been understood by the SEO community that it acts as a PageRank modifier based upon the proximity to the seed set of sites. It is something that every SEO and link builder should understand in-depth if only to provide context around the reason why links remain one of Google's top 3 ranking factors.
When the patent was first filed and Google's early algorithm developed, it was based around the theory that a link from one website to another acted as a vote of trust and authority. And, therefore, the more links votes that point to a page, the more it should be trusted and, therefore, rank higher.
But, as defined in the original paper, "PageRank extends this idea by not counting links from all pages equally, and by normalizing by the number of links on a page. A link isn't simply a straight vote. The authority of a page is taken into account. A link from a PageRank 6 page is ultimately a more authoritative vote than one from a PageRank 2 page. But let's look at the calculations behind PageRank:.
Tn which point to it i. The parameter d is a damping factor which can be set between 0 and 1. We usually set d to 0. There are more details about d in the next section. Also, C A is defined as the number of links going out of page A.
Previously A received all of it. So adding an extra link from a page causes the page to lose PageRank indirectly if any of the pages that it links to return the link. To make it more complicated, if the link is returned even indirectly via a page that links to a page that links to a page etc , the page will lose a little PageRank. Once the new pages have been added, their new PageRank can be channeled to the important pages. Link each of the new pages to the important page, page A [ view ].
Notice that the Total PageRank has doubled, from 3 without the new pages to 6. There is one thing wrong with this model. The new pages are orphans. They each need to be linked to from at least one other page. If page A is the important page, the best page to put the links on is, surprisingly, page A [ view ]. It is not a good idea for one page to link to a large number of pages so, if you are adding many new pages, spread the links around.
The chances are that there is more than one important page in a site, so it is usually suitable to spread the links to and from the new pages.
You can use the calculator to experiment with mini-models of a site to find the best links that produce the best results for its important pages. The PageRank concept is that a page casts votes for one or more other pages. Nothing is said in the original PageRank document about a page casting more than one vote for a single page. The idea seems to be against the PageRank concept and would certainly be open to manipulation by unrealistically proportioning votes for target pages.
Since we are unlikely to get a definitive answer from Google, it is reasonable to assume that a page can cast only one vote for another page, and that additional votes for the same page are not counted. Again, the concept is that pages cast votes for other pages. Nothing is said in the original document about pages casting votes for themselves. The idea seems to be against the concept and, also, it would be another way to manipulate the results.
They affect the model because it is not clear where their weight should be distributed, and there are a large number of them. Often these dangling links are simply pages that we have not downloaded yet………. Because dangling links do not affect the ranking of any other page directly, we simply remove them from the system until all the PageRanks are calculated.
After all the PageRanks are calculated they can be added back in without affecting things significantly. In both cases Google removes the links shortly after the start of the calculations and reinstates them shortly before the calculations are finished.
In this way, their effect on the PageRank of other pages in minimal. The results shown in Example 1 right diag. The results of the calculations would show all three pages as having 0. It may suit site functionality to link to pages that have no links going from them without losing any PageRank from the other pages but it would be waste of potential PageRank. Take a look at this example.
Link page A to page E and click Calculate. But, because the new link is dangling and would be removed from the calculations, we can ignore the new total and assume the previous 4.
Now we have the maximum PageRank that is possible with 5 pages. Nothing is being wasted. Although it may be functionally good to link to pages within the site without those pages linking out again, it is bad for PageRank. It is pointless wasting PageRank unnecessarily, so always make sure that every page in the site links out to at least one other page in the site. The other is to add more pages. Google recognizes that a webmaster has no control over other sites linking into a site, and so sites are not penalized because of where the links come from.
For instance, if you are the only link from a page that has a lowly PR2, you will receive an injection of 0. Clearly, the PR2 link is much better — or is it?
See here for a probable reason why this is not the case. It is beneficial to have the inbound links coming to the pages to which you are channeling your PageRank. A PageRank injection to any other page will be spread around the site through the internal links. The important pages will receive an increase, but not as much of an increase as when they are linked to directly. The page that receives the inbound link, makes the biggest gain. It is easy to think of our site as being a small, self-contained network of pages.
When we do the PageRank calculations we are dealing with our small network. For the PageRank calculations, there is only one network — every page that Google has in its index. Each iteration of the calculation is done on the entire network and not on individual websites. Because the entire network is interlinked, and every link and every page plays its part in each iteration of the calculations, it is impossible for us to calculate the effect of inbound links to our site with any realistic accuracy.
They leak PageRank. To counter the drain, try to ensure that the links are reciprocated. Because of the PageRank of the pages at each end of an external link, and the number of links out from those pages, reciprocal links can gain or lose PageRank. You need to take care when choosing where to exchange links. When PageRank leaks from a site via a link to another site, all the pages in the internal link structure are affected.
The page that you link out from makes a difference to which pages suffer the most loss. Without a program to perform the calculations on specific link structures, it is difficult to decide on the right page to link out from, but the generalization is to link from the one with the lowest PageRank. Many websites need to contain some outbound links that are nothing to do with PageRank.
PageRank is leaked when Google recognizes a link to another site. These include form actions and links contained in javascript code. It can point to any html page on any site. Try it. As of 18th January , Google, together with other search engines, is recognising a new attribute to the anchor tag.
The attribute tells Google to ignore the link completely. With this attribute, there is no longer any need for javascript, forms, or any other method of hiding links from Google. First, let me explain in more detail why the values shown in the Google toolbar are not the actual PageRank figures.
According to the equation, and to the creators of Google, the billions of pages on the web average out to a PageRank of 1. The Google toolbar range is from 1 to What Google does is divide the full range of actual PageRanks on the web into 10 parts — each part is represented by a value as shown in the toolbar.
The numbers in the toolbar are just labels. 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. It will take new pages to move it up another point, new pages to move it up one more, 10, to the next, and so on.
0コメント