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Can opinion be stable in an open network with hierarchy? An agent-based model of the Commercial Court of Paris

Can opinion be stable in an open network with hierarchy? An agent-based model of the Commercial Court of Paris

Rouchier, Juliette and Tubaro, Paola (2011) Can opinion be stable in an open network with hierarchy? An agent-based model of the Commercial Court of Paris. Procedia - Social and Behavioral Sciences, 10. pp. 123-131. ISSN 1877-0428 (doi:https://doi.org/10.1016/j.sbspro.2011.01.015)

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Abstract

We develop an agent-based model of the co-evolution of social networks and opinion formation, using empirical data on the advice network of judges at the Commercial Court in Paris. We aim to identify the motives that drive agents’ behavior and their implications both on the shape of the emerging network and on the possible harmonization of members’ opinions over time. We make the assumptions that judges seek advice from senior colleagues who are higher up in the hierarchy, who enjoy high reputation, or who are similar to them, and test how these assumptions impact on the global dynamics of opinion diffusion and network formation, and fit with the data. Our results single out the combination of criteria that most likely guide individuals’ selection of advisors and provide insight into their effects on opinion formation.

Item Type: Article
Additional Information: This paper forms part of a selection of papers from the 4th & 5th UK Social Networks Conferences held at The University of Greenwich in London, UK, July 2008 and 2009 - published as Vol.10 of the journal Procedia - Social and Behavioral Sciences in 2011.
Uncontrolled Keywords: opinion dynamics, social influence, hierarchy, advice networks, agent-based modelling
Subjects: H Social Sciences > HF Commerce
H Social Sciences > HM Sociology
H Social Sciences > HT Communities. Classes. Races
Faculty / Department / Research Group: Faculty of Business > Centre for Business Network Analysis
Faculty of Business > Department of International Business & Economics
Last Modified: 14 Oct 2016 09:12
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/4656

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