Reflecting on social influence in networks

Zoé Christoff; Jens Ulrik Hansen; Carlo Proietti

Reflecting on social influence in networks

Zoé Christoff, Jens Ulrik Hansen, Carlo Proietti

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	Proceedings of the Information Dynamics in Artificial Societies Workshop (IDAS 2014)
Editors	Emiliano Lorini, Laurent Perrussel
Number of pages	9
Publication status	Published - 2014
Event	Information Dynamics in Artificial Societies Workshop - Tübingen, Germany Duration: 2014 Aug 18 → 2014 Aug 22

Conference

Conference	Information Dynamics in Artificial Societies Workshop
Country/Territory	Germany
City	Tübingen
Period	2014/08/18 → 2014/08/22

Bibliographical note

http://www.irit.fr/~Laurent.Perrussel/idas-14/

Subject classification (UKÄ)

Philosophy

Logical Modelling of Collective Attitudes and their Dynamics
Proietti, C. (PI)
Swedish Research Council
2013/01/01 → 2015/12/31
Project: Research
Knowledge in a Digital World: Trust, Credibility and Relevance on the Web
Felix, C. V. (Researcher), Genot, E. (Researcher), Olsson, E. J. (PI), Masterton, G. (Researcher), Ahlstrom-Vij, K. (Researcher), Rendsvig, R. K. (Researcher), Obelitz Søe, S. (Researcher), von Gerber, Y. (Researcher), Fransson, J. (Researcher), Andersson, C. (Researcher), Haider, J. (Researcher), Ilshammar, L. (Researcher), Lindsköld, L. (Researcher), Sundin, O. (PI), Kjellberg, S. (Researcher) & Carlsson, H. (Researcher)
Swedish Research Council
2013/01/01 → 2017/12/31
Project: Research

Cite this

@inproceedings{b0d2d57b45894f0b8140eee243aa8138,

title = "Reflecting on social influence in networks",

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 = "Zo{\'e} Christoff and Hansen, {Jens Ulrik} and Carlo Proietti",

note = "http://www.irit.fr/~Laurent.Perrussel/idas-14/; Information Dynamics in Artificial Societies Workshop ; Conference date: 18-08-2014 Through 22-08-2014",

year = "2014",

language = "English",

editor = "Emiliano Lorini and Laurent Perrussel",

booktitle = "Proceedings of the Information Dynamics in Artificial Societies Workshop (IDAS 2014)",

}

TY - GEN

T1 - Reflecting on social influence in networks

AU - Christoff, Zoé

AU - Hansen, Jens Ulrik

AU - Proietti, Carlo

N1 - http://www.irit.fr/~Laurent.Perrussel/idas-14/

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

M3 - Paper in conference proceeding

BT - Proceedings of the Information Dynamics in Artificial Societies Workshop (IDAS 2014)

A2 - Lorini, Emiliano

A2 - Perrussel, Laurent

T2 - Information Dynamics in Artificial Societies Workshop

Y2 - 18 August 2014 through 22 August 2014

ER -

Reflecting on social influence in networks

Abstract

Conference

Bibliographical note

Subject classification (UKÄ)

Fingerprint

Projects

Logical Modelling of Collective Attitudes and their Dynamics

Knowledge in a Digital World: Trust, Credibility and Relevance on the Web

Cite this