A Webspammer Detection Model Based on Structure and Content

With the destruction of the Webspammer is more and more strong, how to efficiently and accurately detect the webspammer has become an urgent problem. To solve this problem, this paper proposes a webspammer Detection Model based on Structure and Content (MSD), the model considers the node in the overlaps structure repeatedly spread Internet rumors is the webspammer.First, In the unit time, from the node that has sent the information, MSD mining strong spread ability of the node (overlapping structure); Then, MSD can detect the the suspected webspammer according to the similarity between the rumor and the node spread content in the overlapping structure; Finally, determine the webspammer according to a suspected webspammer spread rumors frequency. Experimental results show that the MSD model is related to other model has higher accuracy in the detection of webspammer.