Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Reflecting on social influence in networks

Christoff, Zoé ; Hansen, Jens Ulrik LU and Proietti, Carlo LU (2014) Information Dynamics in Artificial Societies Workshop
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.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
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
conference location
Tübingen, Germany
conference dates
2014-08-18 - 2014-08-22
project
Knowledge in a Digital World: Trust, Credibility and Relevance on the Web
Logical Modelling of Collective Attitudes and their Dynamics
language
English
LU publication?
yes
additional info
http://www.irit.fr/~Laurent.Perrussel/idas-14/
id
b0d2d57b-4589-4f0b-8140-eee243aa8138 (old id 4465580)
date added to LUP
2016-04-04 13:31:18
date last changed
2018-11-21 21:14:33
@inproceedings{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},
  booktitle    = {Proceedings of the Information Dynamics in Artificial Societies Workshop (IDAS 2014)},
  editor       = {Lorini, Emiliano and Perrussel, Laurent},
  language     = {eng},
  title        = {Reflecting on social influence in networks},
  year         = {2014},
}