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Applied Network Science

, 2:12

First Online: 05 June 2017Received: 24 February 2017Accepted: 29 April 2017DOI: 10.1007-s41109-017-0029-0

Cite this article as: Primiero, G., Raimondi, F., Bottone, M. et al. Appl Netw Sci 2017 2: 12. doi:10.1007-s41109-017-0029-0


We analyse the problem of contradictory information distribution in networks of agents with positive and negative trust. The networks of interest are built by ranked agents with different epistemic attitudes. In this context, positive trust is a property of the communication between agents required when message passing is executed bottom-up in the hierarchy, or as a result of a sceptic agent checking information. These two situations are associated with a confirmation procedure that has an epistemic cost. Negative trust results from refusing verification, either of contradictory information or because of a lazy attitude. We offer first a natural deduction system called SecureND to model these interactions and consider some meta-theoretical properties of its derivations. We then implement it in a NetLogo simulation to test experimentally its formal properties. Our analysis concerns in particular: conditions for consensus-reaching transmissions; epistemic costs induced by confirmation and rejection operations; the influence of ranking of the initially labelled nodes on consensus and costs; complexity results.

KeywordsTrust Distrust Contradictory information Agent-based simulation 

Author: Giuseppe Primiero - Franco Raimondi - Michele Bottone - Jacopo Tagliabue



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