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发布时间：2019-03-11

论文类型：会议论文

发表时间：2015-06-08

收录刊物：Scopus、SCIE、CPCI-S、EI

卷号：9098

页面范围：452-456

关键字：Web spam; Community discovery; Differential trust propagation

摘要：In this paper, we propose a novel differential trust propagation scheme with community discovery, which can be applied to all kinds of trust propagation algorithms. We first use a random walk-based community discovery algorithm to preselect suspicious communities in which the members are almost spam pages. We then utilize these suspicious communities to limit the across-community-boundary trust propagation. Experimental results on WEBSPAM-UK2007 and ClueWeb09 demonstrate that the proposed penalizing scheme significantly improves the performance of trust propagation algorithms such as TrustRank, LCRank, CPV.