An improved link-based method for spam detection in Persian web graph

Today using the internet has spread wildly, and increasing number of web pages leads to importance of using search engines, therefore some people try to misguide search engines to have more customers and benefit. They increase the rank of their pages by some illegal ways. search engines to. Identify of this kind of web pages can improve search engines and attract confidence to user. According to importance of finding spam pages, the research is presented a new linke-based way to detect spam pages in Persian web graph. This way, first link farms detectes. Finally, the negative scores of spam pages propagate in whole of web graph. This way was implemented on data of Parsijoo search engine and the result of data analyses indicates 21.2% improvement in p@n factor.