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Reputation-Based Trust Diffusion in Complex Socio-Economic Networks

  • Sascha Hauke
  • Martin Pyka
  • Markus Borschbach
  • Dominik Heider
Part of the Studies in Computational Intelligence book series (SCI, volume 324)

Abstract

Trust and reputation form the foundation of most human interactions, they are ubiquitous in everyday life. Over the past years, attempts have been made to model trust relations computationally, either to assist users or for modeling purposes in multi-agent systems. As a fundamentally social phenomenon, trust forms, operates on and changes social networks, an aspect not investigated in detail so far. In this chapter, we aim to investigate how the nature of social networks, such as their quality of being highly clustered, impacts the spread and thus the availability of data to agents. Furthermore, we will propose an extension to state-of-the art trust frameworks that leverages the capabilities of information spreading in complex networks by decoupling the provisioning process of reputation information from non-neighboring recommenders.

Keywords

Random Graph Multiagent System Preferential Attachment Giant Component Trust Establishment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Sascha Hauke
    • 1
  • Martin Pyka
    • 2
  • Markus Borschbach
    • 3
  • Dominik Heider
    • 4
  1. 1.Institute of Computer ScienceUniversity of Münster & FHDW in Bergisch GladbachGermany
  2. 2.Department of PsychiatryUniversity of MarburgGermany
  3. 3.FHDW in Bergisch GladbachGermany
  4. 4.Department of Bioinformatics, Center for Medical BiotechnologyUniversity of Duisburg-EssenGermany

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