Reflecting on social influence in networks

Christoff, Zoé; Hansen, Jens Ulrik; Proietti, Carlo (2014). Reflecting on social influence in networks. Lorini, Emiliano; Perrussel, Laurent (Eds.). Proceedings of the Information Dynamics in Artificial Societies Workshop (IDAS 2014). Information Dynamics in Artificial Societies Workshop. Tübingen, Germany
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Conference Proceeding/Paper | Published | English
Authors:
Christoff, Zoé ; Hansen, Jens Ulrik ; Proietti, Carlo
Editors:
Lorini, Emiliano ; Perrussel, Laurent
Department:
Theoretical Philosophy
Lund University Information Quality Research Group (LUIQ)
Project:
Knowledge in a Digital World: Trust, Credibility and Relevance on the Web
Logical Modelling of Collective Attitudes and their Dynamics
Research Group:
Lund University Information Quality Research Group (LUIQ)
Abstract:
This paper builds on the logical model of opinion dynamics under social influence in networks proposed by Liu, Seligman, and Girard (2014) as well as on the generalization proposed by Christoff and Hansen (2013). While both accounts of social influence show interesting dynamics, they both assume that agents do not reflect on how they are affected by such influence. This paper shows that, if agents are allowed to reflect upon the very rules of social influence, they may come to know (or "learn") other agents' private opinions, even though they can only observe their public behavior. To represent formally agents who are able to reason about social influence, a logic of social networks, knowledge, influence, and "learning" is introduced.
LUP-ID:
b0d2d57b-4589-4f0b-8140-eee243aa8138 | Link: https://lup.lub.lu.se/record/b0d2d57b-4589-4f0b-8140-eee243aa8138 | Statistics

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