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.
Let’s start with what Google says. In a nutshell, it considers links to be like votes. In addition, it considers that some votes are more important than others. PageRank is Google’s system of counting link votes and determining which pages are most important based on them. These scores are then used along with many other things to determine if a page will rank well in a search.
The Open Directory Project (ODP) is a Web directory maintained by a large staff of volunteers. Each volunteer oversees a category, and together volunteers list and categorize Web sites into a huge, comprehensive directory. Because a real person evaluates and categorizes each page within the directory, search engines like Google use the ODP as a database for search results. Getting a site listed on the ODP often means it will show up on Google.
Google PageRank (Google PR) is one of the methods Google uses to determine a page's relevance or importance. Important pages receive a higher PageRank and are more likely to appear at the top of the search results. Google PageRank (PR) is a measure from 0 - 10. Google Pagerank is based on backlinks. The more quality backlinks the higher Google Pagerank. Improving your Google page rank (building QUALITY backlinks ) is very important if you want to improve your search engine rankings.
The total number of backlinks can often include many links from the same referring domain or multiple referring domains. It’s common for referring domains to link back to your content if it is relevant, authoritative or useful in some way to their own domain. In an ideal world, that’s how backlinks are accumulated; unique content that other websites want to be associated with.
Suppose instead that page B had a link to pages C and A, page C had a link to page A, and page D had links to all three pages. Thus, upon the first iteration, page B would transfer half of its existing value, or 0.125, to page A and the other half, or 0.125, to page C. Page C would transfer all of its existing value, 0.25, to the only page it links to, A. Since D had three outbound links, it would transfer one third of its existing value, or approximately 0.083, to A. At the completion of this iteration, page A will have a PageRank of approximately 0.458.
youfoundjake, those would definitely be the high-order bits. The fact that no one noticed this change means (to me) even though it feels like a really big shift, in practice the impact of this change isn’t that huge. By the way, I have no idea why CFC flagged you, but I pulled your comment out of the Akismet bin. Maybe some weird interaction of cookies with WordPress caching? Sorry that happened.
There are also many keyword research tools (some free and some paid) that claim to take the effort out of this process. A popular tool for first timers is Traffic Travis, which can also analyse your competitors’ sites for their keyword optimization strategies and, as a bonus, it can deliver detailed analysis on their back-linking strategy, too. You can also use Moz.com’s incredibly useful keyword research tools – they’re the industry leader, but they come at a somewhat higher price.
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