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.
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Eismann, K. (2019). Procedural Influence on Consensus Formation in Social Networks. In: Aiello, L., Cherifi, C., Cherifi, H., Lambiotte, R., Lió, P., Rocha, L. (eds) Complex Networks and Their Applications VII. COMPLEX NETWORKS 2018. Studies in Computational Intelligence, vol 813. Springer, Cham. https://doi.org/10.1007/978-3-030-05414-4_23
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