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Mathematical Problems in Engineering
Volume 2014, Article ID 536717, 16 pages
Research Article

Research on Trust Propagation Models in Reputation Management Systems

1School of Software, Dalian University of Technology, Liaoning 116024, China
2Computational Social Science Lab, School of Innovation Experiment, Dalian University of Technology, Liaoning 116024, China

Received 11 March 2014; Accepted 9 May 2014; Published 28 May 2014

Academic Editor: Matjaz Perc

Copyright © 2014 Zhiyuan Su et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Feedback based reputation systems continue to gain popularity in eCommerce and social media systems today and reputation management in large social networks needs to manage cold start and sparseness in terms of feedback. Trust propagation has been widely recognized as an effective mechanism to handle these problems. In this paper we study the characterization of trust propagation models in the context of attack resilience. We characterize trust propagation models along three dimensions: (i) uniform propagation and conditional propagation, (ii) jump strategies for breaking unwanted cliques, and (iii) decay factors for differentiating recent trust history from remote past history. We formally and experimentally show that feedback similarity is a critical measure for countering colluding attacks in reputation systems. Without feedback similarity guided control, trust propagations are vulnerable to different types of colluding attacks.