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.
W. Liang—This work was supported by NSF of China (No. 61272374,61300190), SRFDP of Higher Education (No.20120041110046) and Key Project of Chinese Ministry of Education (No. 313011).
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© 2015 Springer International Publishing Switzerland
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Zhang, X., Feng, Y., Shen, H., Liang, W. (2015). Differential Trust Propagation with Community Discovery for Link-Based Web Spam Demotion. In: Dong, X., Yu, X., Li, J., Sun, Y. (eds) Web-Age Information Management. WAIM 2015. Lecture Notes in Computer Science(), vol 9098. Springer, Cham. https://doi.org/10.1007/978-3-319-21042-1_39
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DOI: https://doi.org/10.1007/978-3-319-21042-1_39
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