Detecting search engine spam from a trackback network in blogspace

Authors:
Masahiro Kimura;Kazumi Saito;Kazuhiro Kazama;Shin-ya Sato
Affiliations:
Department of Electronics and Informatics, Ryukoku University, Otsu, Shiga, Japan;NTT Communication Science Laboratories, NTT Corporation, Seika-cho, Kyoto, Japan;NTT Network Innovation Laboratories, NTT Corporation, Musashino, Tokyo, Japan;NTT Network Innovation Laboratories, NTT Corporation, Musashino, Tokyo, Japan
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Year:
2005

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Abstract

We aim to develop a technique to detect search engine optimization (SEO) spam websites. Specifically, we propose four methods for extracting the SEO spam entries from a given trackback network in blogspace that are based on fundamental metrics on a network. Using real data of trackback networks in blogspace, we experimentally evaluate the performance of the proposed methods, and demonstrate that the method of ranking entries based on average degrees of nearest neighbors can be a very promising approach for extracting SEO spam entries.