SEO - Link Spam Detection Based on Mass Estimation

[SJshah]

Link Spam Detection Based on Mass Estimation

This is one for everyone SEO'ing their sites with the naiive approach expecting fast results, using blackhat methods such as link spamming (xrumer, scrapebox, senuke, etc.), link wheels, link farms and other similar methods.

Yes, its an old publication (2006), but that just shows how search engines have known about such methods for a long time and are doing everything they can to prevent them from working.

Link spamming intends to mislead search engines and trigger an artificially high link-based ranking of specific target web pages. This paper introduces the concept of spam mass, a measure of the impact of link spamming on a page’s ranking.

We discuss how to estimate spam mass and how the estimates
can help identifying pages that benefit significantly from link spamming. In our experiments on the host-level Yahoo! web graph we use spam mass estimates to successfully identify tens of thousands of instances of heavy-weight link spamming.

Read the full publication from standford here:
http://infolab.stanford.edu/~zoltan/publications/gyongyi2006link.pdf

.

 

[QuickSand]

nice read
thanks

 

[SJshah]

^ Liar, you didnt read it. :p


Note: I cant stress enough about how important it is never to use blackhat seo - reading through this will help you understand it more.