Procedural Influence on Consensus Formation in Social Networks






Faculty/Professorship: Information Systems and Social Networks  
Author(s): Eismann, Kathrin  
Editors: Aiello, Luca Maria; Cherifi, Chantal; Cherifi, Hocine; Lambiotte, Renaud; Lió, Pietro; Rocha, Luis M.
Title of the compilation: Complex Networks and Their Applications VII: Volume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018
Corporate Body: The 7th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS), 2018, Cambridge, UK
Publisher Information: Cham : Springer International Publishing
Year of publication: 2019
Pages: 287-299
Edition: 1
Series ; Volume: Studies in Computational Intelligence (SCI) ; 813
Year of first publication: 2018
Language(s): English
DOI: 10.1007/978-3-030-05414-4_23
Abstract: 
How do the rules of interaction influence consensus formation in a social network? In this paper, I analyse procedural influence – a construct that is well-established within the group decision-making research tradition – in the context of networked consensus formation. I argue that interaction procedures regulate the flow of social influence among actors, which, in turn, potentially affects collective outcomes. Based on this, I explain how procedural influence can be integrated into a formal model of social influence. I then utilise an agent-based simulation (ABS) to quantify the effects of three exemplary interaction rules on the formation of consensus in a social network. My findings indicate that applying these rules to regulate interactions has mixed effects on the overall consensus outcomes, but consistently negative effects on the efficiency of consensus formation.
Keywords: social network, social influence, consensus formation, belief dynamics, procedural influence
Peer Reviewed: Ja
International Distribution: Ja
Type: Conferenceobject
URI: https://fis.uni-bamberg.de/handle/uniba/44932
Year of publication: 6. December 2018