SEO Mistakes that Reduce Web Page Ranking

The following are a list of SEO mistakes can ensure that your site maintains a low ranking with the search engines. Avoid at all costs.

* Specifying no title for your page
* Excessive use of images or Flash animation on a page
* Complicated menu systems


Specifying no title for your page:

I cannot stress how important the title of a web page is. Failing to specify a descriptive, keyword optimized title will do untold damage to your ranking with the search engines. It is the equivalent to owning a shop and boarding up its windows. Ideally each page on your site should have a unique, content-specific title following the guidelines specified in the Title Tag Optimization article.
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Excessive use of images or Flash animation on a page:

If your web page has plenty of nice-looking graphics and eye-popping Flash animation and not a lot of textual content it may indeed look nice but have you ever considered what how the search engines might see it. Search engines thrive on textual content, scavenging as much text as they can but unfortunately they cannot understand images or Flash animations like we can and so will find nothing of real value on your page. Try to balance your page so that the textual content is given priority and that any images or animations are used only when needed. Also it is a good idea to attach some text to an image by using its ALT tag as search engines use this text when determining rank.
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Complicated menu systems:

Search engines spiders that crawl through our pages are a relatively primitive bunch. They find in hard to navigate complicated menu systems implemented for example in JavaScript or as a Java applet. Just because it is easy for a human to navigate through the site never assume it will be as easy for a search engine spider. A menu system using simple textual links will be easier for a spider to understand and it will be able to successfully navigate your site. A lot of the time complicated menu systems can be replicated using textual links and CSS.

If you must use a complicated menu system be sure to provide a site map that is clearly accessible from the homepage of your site and contains only textual links to your pages. This ensures that even if the spider cannot understand your menu system that it will be able to find the pages on your site.

Article source: http://www.geocities.com

PageRank is Important for Websites

Page Rank (PR) is important factor to identify quality of websites.

One of Google's methods to measure the importance of a web page according to its popularity and links to other websites.

Page rank is a value that Google assigns to a web page based on the importance of the page on the internet that is determined by the number of incoming links to that web page and few other factors.

How is PageRank measured?

To determine the PageRank for a page, all of its inbound links are taken into account. These are links from within the site and links from outside the site.

PR(A) = (1-d) + d(PR(t1)/C(t1) + ... + PR(tn)/C(tn))

That's the equation that calculates a page's PageRank. It's the original one that was published when PageRank was being developed, and it is probable that Google uses a variation of it but they aren't telling us what it is. It doesn't matter though, as this equation is good enough.

In the equation 't1 - tn' are pages linking to page A, 'C' is the number of outbound links that a page has and 'd' is a damping factor, usually set to 0.85.

We can think of it in a simpler way:-

a page's PageRank = 0.15 + 0.85 * (a "share" of the PageRank of every page that links to it)

"share" = the linking page's PageRank divided by the number of outbound links on the page.

A page "votes" an amount of PageRank onto each page that it links to. The amount of PageRank that it has to vote with is a little less than its own PageRank value (its own value * 0.85). This value is shared equally between all the pages that it links to.

From this, we could conclude that a link from a page with PR4 and 5 outbound links is worth more than a link from a page with PR8 and 100 outbound links. The PageRank of a page that links to yours is important but the number of links on that page is also important. The more links there are on a page, the less PageRank value your page will receive from it.

If the PageRank value differences between PR1, PR2,.....PR10 were equal then that conclusion would hold up, but many people believe that the values between PR1 and PR10 (the maximum) are set on a logarithmic scale, and there is very good reason for believing it. Nobody outside Google knows for sure one way or the other, but the chances are high that the scale is logarithmic, or similar. If so, it means that it takes a lot more additional PageRank for a page to move up to the next PageRank level that it did to move up from the previous PageRank level. The result is that it reverses the previous conclusion, so that a link from a PR8 page that has lots of outbound links is worth more than a link from a PR4 page that has only a few outbound links.

Whichever scale Google uses, we can be sure of one thing. A link from another site increases our site's PageRank. Just remember to avoid links from link farms.

Note that when a page votes its PageRank value to other pages, its own PageRank is not reduced by the value that it is voting. The page doing the voting doesn't give away its PageRank and end up with nothing. It isn't a transfer of PageRank. It is simply a vote according to the page's PageRank value. It's like a shareholders meeting where each shareholder votes according to the number of shares held, but the shares themselves aren't given away. Even so, pages do lose some PageRank indirectly, as we'll see later.

Ok so far? Good. Now we'll look at how the calculations are actually done.

For a page's calculation, its existing PageRank (if it has any) is abandoned completely and a fresh calculation is done where the page relies solely on the PageRank "voted" for it by its current inbound links, which may have changed since the last time the page's PageRank was calculated.

The equation shows clearly how a page's PageRank is arrived at. But what isn't immediately obvious is that it can't work if the calculation is done just once. Suppose we have 2 pages, A and B, which link to each other, and neither have any other links of any kind. This is what happens:-

Step 1: Calculate page A's PageRank from the value of its inbound links

Page A now has a new PageRank value. The calculation used the value of the inbound link from page B. But page B has an inbound link (from page A) and its new PageRank value hasn't been worked out yet, so page A's new PageRank value is based on inaccurate data and can't be accurate.

Step 2: Calculate page B's PageRank from the value of its inbound links

Page B now has a new PageRank value, but it can't be accurate because the calculation used the new PageRank value of the inbound link from page A, which is inaccurate.

It's a Catch 22 situation. We can't work out A's PageRank until we know B's PageRank, and we can't work out B's PageRank until we know A's PageRank.

Now that both pages have newly calculated PageRank values, can't we just run the calculations again to arrive at accurate values? No. We can run the calculations again using the new values and the results will be more accurate, but we will always be using inaccurate values for the calculations, so the results will always be inaccurate.

The problem is overcome by repeating the calculations many times. Each time produces slightly more accurate values. In fact, total accuracy can never be achieved because the calculations are always based on inaccurate values. 40 to 50 iterations are sufficient to reach a point where any further iterations wouldn't produce enough of a change to the values to matter. This is precisiely what Google does at each update, and it's the reason why the updates take so long.

One thing to bear in mind is that the results we get from the calculations are proportions. The figures must then be set against a scale (known only to Google) to arrive at each page's actual PageRank. Even so, we can use the calculations to channel the PageRank within a site around its pages so that certain pages receive a higher proportion of it than others.