Abstract
Diffusion in social networks is a result of agents’ natural desires to conform to the behavioral patterns of their peers. In this article we show that the recently proposed “propositional opinion diffusion model” could be used to model an agent’s conformity to different social groups that the same agent might belong to, rather than conformity to the society as whole. The main technical contribution of this article is a sound and complete logical system describing the properties of the influence relation in this model. The logical system is an extension of Armstrong’s axioms from database theory by one new axiom that captures the topological structure of the network.
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DOI 10.1007/s10849-019-09303-5
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References found in this work BETA

A Logic for Diffusion in Social Networks.Zoé Christoff & Jens Ulrik Hansen - 2015 - Journal of Applied Logic 13 (1):48-77.
Marketing Impact on Diffusion in Social Networks.Pavel Naumov & Jia Tao - 2017 - Journal of Applied Logic 20:49-74.

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