Analysis of blog spams and collborative blog spam filtering using adaptive percolation search

Abstract

We provide basic analysis on blog spams, which little is known about before. Then, we propose a novel collaborative filtering method for link spams on blogs. The key idea is to rely on manual identification of spams and share this information about spams through a network of trust. The blogger who has identified a spam tells a small number of fellow bloggers (content implantation), and those who have not heard about it start a search using an adaptive percolation search, combined with content implantation, they contract the information about identified spam in only a fraction of the query period time without producing large volume of traffic.