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Co-Occurrence Diffusion Method for Expert Ranking Algorithm in Heterogeneous Web Pages

Dr. VijayaChamundeeswari , Ramyadevi.R , Rajkumar.S.C

Web-based communities have become important places for people to searching experts on the web, Page Rank algorithm has proven to be very effective for ranking Web pages, and the rank scores of Web pages can be manipulated. The Web spam problem which refers to hyperlinked pages on the Web that are created with the intention of misleading search engines. The reason for the increasing amount of Web spam is explained in some web site operators try to influence the positioning of their pages within search results because of the large fraction of web traffic originating from searches and the high potential monetary value of this traffic including PageRank on this large size social network in order to identify users with high. To handle the manipulation problem and to cast a new insight on the Web structure, we propose of utilizing co occurrence relationships to assess the relevance and reputation of a person name with respect to a query on document simultaneously search based on the ranking algorithm called Diffusion Rank ,it is motivated by the heat diffusion phenomena, which can be connected to Web ranking because the activities flow on the Web can be imagined as heat flow, we generate a ranked list of people’s name and leave the person identification problem to users.