Reflecting on social influence in networks
(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:
https://lup.lub.lu.se/record/4465580
- author
- Christoff, Zoé ; Hansen, Jens Ulrik LU and Proietti, Carlo LU
- organization
- publishing date
- 2014
- 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}}, }