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Group conformity in social networks

Group conformity in social networks
Group conformity in social networks
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.
Social networks, Threshold model, Armstrong's axioms
3-19
Morrison, Colby
8c2a1622-4629-44c4-8158-d7a88c2aa804
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0
Morrison, Colby
8c2a1622-4629-44c4-8158-d7a88c2aa804
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0

Morrison, Colby and Naumov, Pavel (2020) Group conformity in social networks. Journal of Logic, Language, and Information, 29 (1), 3-19. (doi:10.1007/s10849-019-09303-5).

Record type: Article

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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2019-lli - Accepted Manuscript
Available under License University of Southampton Accepted Manuscript Licence.
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e-pub ahead of print date: 26 September 2019
Published date: 1 March 2020
Additional Information: Copyright © 2019, Springer Nature B.V.
Keywords: Social networks, Threshold model, Armstrong's axioms
Learn more about Agents, Interactions and Complexity research

Identifiers

Local EPrints ID: 457231
URI: http://eprints.soton.ac.uk/id/eprint/457231
DOI: doi:10.1007/s10849-019-09303-5
PURE UUID: 27b3748b-9df3-4d94-8d98-4572b717da17
ORCID for Pavel Naumov: ORCID iD orcid.org/0000-0003-1687-045X

Catalogue record

Date deposited: 26 May 2022 16:54
Last modified: 17 Mar 2024 04:10

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Contributors

Author: Colby Morrison
Author: Pavel Naumov ORCID iD

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