Internet Marketing Articles - Page Rank Explained with Bright Colors

Page Rank Explained with Bright Colors

The seven words quoted above say it all. There have been many additions to Google's algorithm since Sergey Brin and Lawrence Page invented the concept of PageRank, but PageRank is still the trademarked backbone of Google's algorithm. At the same time we must assume that other search engines have implemented their own versions of "pagerank" - such as Web Rank and TrustRank. 

This means that anyone who wants to learn about search engine optimisation must first learn the theory behind PageRank. 

The idea behind this site is to use a brightly coloured spreadsheet for watching how PageRank distributes throughout a site. Adding and deleting links is as easy as entering 1 and 0 in the spreadsheet. 

I hope this will give a more visual idea of PageRank - and at the same time answer time-old questions - such as "does PageRank leak exist?" and "which linking structure is better?".

If you have Microsoft Excel© you can get the spreadsheet and tune all the parameters. If you do not have Excel installed on your computer you can still see the examples, but will not be able to play around with different values :-( 

Please note that all through this site, the word PageRank refers to the real PageRank - and not to the logarithmic PR display from the Google Toolbar.

Technology Overview

Extraction from Google Website

http://www.google.com/corporate/tech.html

Google stands alone in its focus on developing the "perfect search engine," defined by co-founder Larry Page as something that, "understands exactly what you mean and gives you back exactly what you want." To that end, Google has persistently pursued innovation and refused to accept the limitations of existing models. As a result, Google developed its own serving infrastructure and breakthrough PageRank™ technology that changed the way searches are conducted.

From the beginning, Google's developers recognized that providing the fastest, most accurate results required a new kind of server setup. Whereas most search engines ran off a handful of large servers that often slowed under peak loads, Google employed linked PCs to quickly find each query's answer. The innovation paid off in faster response times, greater scalability and lower costs. It's an idea that others have since copied, while Google has continued to refine its back-end technology to make it even more efficient.

The software behind Google's search technology conducts a series of simultaneous calculations requiring only a fraction of a second. Traditional search engines rely heavily on how often a word appears on a web page. Google uses PageRank™ to examine the entire link structure of the web and determine which pages are most important. It then conducts hypertext-matching analysis to determine which pages are relevant to the specific search being conducted. By combining overall importance and query-specific relevance, Google is able to put the most relevant and reliable results first.

• PageRank Technology: PageRank performs an objective measurement of the importance of web pages by solving an equation of more than 500 million variables and 2 billion terms. Instead of counting direct links, PageRank interprets a link from Page A to Page B as a vote for Page B by Page A. PageRank then assesses a page's importance by the number of votes it receives.
  
  PageRank also considers the importance of each page that casts a vote, as votes from some pages are considered to have greater value, thus giving the linked page greater value. Important pages receive a higher PageRank and appear at the top of the search results. Google's technology uses the collective intelligence of the web to determine a page's importance. There is no human involvement or manipulation of results, which is why users have come to trust Google as a source of objective information untainted by paid placement.
  
   

• Hypertext-Matching Analysis: Google's search engine also analyzes page content. However, instead of simply scanning for page-based text (which can be manipulated by site publishers through meta-tags), Google's technology analyzes the full content of a page and factors in fonts, subdivisions and the precise location of each word. Google also analyzes the content of neighboring web pages to ensure the results returned are the most relevant to a user's query.

Google's innovations don't stop at the desktop. To bring its accurate and speedy search results to users accessing the web through portable devices, Google also pioneered the first wireless search technology for on-the-fly translation of HTML to formats optimized for WAP, i-mode, J-SKY, and EZWeb. Currently, Google provides its wireless technology to numerous market leaders, including AT&T Wireless, Sprint PCS, Nextel, Palm, Handspring, and Vodafone, among others.

Life of a Google Query

The life span of a Google query normally lasts less than half a second, yet involves a number of different steps that must be completed before results can be delivered to a person seeking information.

3. The search results are returned to the user in a fraction of a second.			1. The web server sends the query to the index servers. The content inside the index servers is similar to the index in the back of a book - it tells which pages contain the words that match the query.

	2. The query travels to the doc servers, which actually retrieve the stored documents. Snippets are generated to describe each search result.

Disclaimer: PageRank is a trademark of Google Inc. This site is not affiliated with Google Inc.