Reflecting on Social Influence in Networks

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

In many social contexts, social influence seems to be inescapable: the behavior of others influences us to modify ours, and vice-versa. However, social psychology is full of examples of phenomena where individuals experience a discrepancy between their public behavior and their private opinion. This raises two central questions. First, how does an individual reason about the behavior of others and their private opinions in situations of social influence? And second, what are the laws of the resulting information dynamics? In this paper, we address these questions by introducing a formal framework for representing reasoning about an individual’s private opinions and public behavior under the dynamics of social influence in social networks. Moreover, we dig deeper into the involved information dynamics by modeling how individuals can learn about each other based on this reasoning. This compels us to introduce a new formal notion of reflective social influence. Finally, we initialize the work on proof theory and automated reasoning for our framework by introducing a sound and complete tableaux system for a fragment of our logic. Furthermore, this constitutes the first tableau system for the “Facebook logic” of J. Seligman, F. Liu, and P. Girard.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • University of Liverpool
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
  • Socialpsykologi

Nyckelord

Originalspråkengelska
Sidor (från-till)299-333
TidskriftJournal of Logic, Language and Information
Volym25
Utgåva nummer3-4
StatusPublished - 2016 dec
PublikationskategoriForskning
Peer review utfördJa

Related projects

Carlo Proietti

Swedish Research Council

2013/01/012015/12/31

Projekt: ForskningIndividuellt forskningsprojekt

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