A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Search engines make the information retrieval task easier for the users. Highly ranking position in the search engine query results brings great benefits for websites. Some website owners interpret the link architecture to improve ranks. To handle the search engine spam problems, especially link farm spam, clique identification in the network structure would help a lot. This paper proposes a novel strategy to detect the spam based on K-Clique Percolation method. Data collected from website anddoi:10.7763/ijmlc.2012.v2.207 fatcat:6sudph7iyzcslbvavuu7aysety