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Differential Trust Propagation with Community Discovery for Link-Based Web Spam Demotion

Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2015-06-08

Included Journals: Scopus、SCIE、CPCI-S、EI

Volume: 9098

Page Number: 452-456

Key Words: Web spam; Community discovery; Differential trust propagation

Abstract: 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.

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