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Reflecting on social influence in networks

Christoff, Zoé; Hansen, Jens Ulrik LU and Proietti, Carlo LU (2014) Information Dynamics in Artificial Societies Workshop In Proceedings of the Information Dynamics in Artificial Societies Workshop (IDAS 2014)
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.
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Proceedings of the Information Dynamics in Artificial Societies Workshop (IDAS 2014)
editor
Lorini, Emiliano and Perrussel, Laurent
pages
9 pages
conference name
Information Dynamics in Artificial Societies Workshop
project
Knowledge in a Digital World: Trust, Credibility and Relevance on the Web
language
English
LU publication?
yes
id
b0d2d57b-4589-4f0b-8140-eee243aa8138 (old id 4465580)
date added to LUP
2014-06-27 14:24:11
date last changed
2016-11-02 08:12:37
@misc{b0d2d57b-4589-4f0b-8140-eee243aa8138,
  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.},
  author       = {Christoff, Zoé and Hansen, Jens Ulrik and Proietti, Carlo},
  editor       = {Lorini, Emiliano and Perrussel, Laurent},
  language     = {eng},
  pages        = {9},
  series       = {Proceedings of the Information Dynamics in Artificial Societies Workshop (IDAS 2014)},
  title        = {Reflecting on social influence in networks},
  year         = {2014},
}