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Augmenting Reputation-based Trust Metrics with Rumor-like Dissemination of Reputation Information

Abstract : Trust is an important and frequently studied concept in personal interactions and business ventures. As such, it has been examined by multitude of scientists in diverse disciplines of study. Over the past years, proposals have been made to model trust relations computationally, either to assist users or for modeling purposes in multi-agent systems. These models rely implicitly on the social networks established by participating entities (be they autonomous agents or internet users). At the same time, research in complex networks has revealed mechanisms of information diffusion, such as the spread of rumors in a population. By adapting rumor-spreading processes to reputation dissemination in multi-agent systems, this paper shows the benefit of augmenting an existing trust model with pro-actively, socially filtered trust information.
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Sascha Hauke, Martin Pyka, Markus Borschbach, Dominik Heider. Augmenting Reputation-based Trust Metrics with Rumor-like Dissemination of Reputation Information. 25th IFIP TC 11 International Information Security Conference (SEC) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. pp.136-147, ⟨10.1007/978-3-642-15257-3_13⟩. ⟨hal-01054521⟩

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