Skip to main content

Modeling Contagion of Behavior in Friendship Networks as Coordination Games

Jordan, Tobias, De Wilde, Philippe, Buarque de Lima Neto, Fernando (2017) Modeling Contagion of Behavior in Friendship Networks as Coordination Games. In: Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing (AISC) , 528. pp. 181-194. Springer ISBN 978-3-319-47252-2. E-ISBN 978-3-319-47253-9. (doi:10.1007/978-3-319-47253-9_15)

PDF - Author's Accepted Manuscript
Download (910kB) Preview
[img]
Preview
Official URL
http://dx.doi.org/10.1007/978-3-319-47253-9_15

Abstract

It has been shown that humans are heavily influenced by peers when it comes to choice of behavior, norms or opinions. In order to better understand and help to predict society’s behavior, it is therefore desirable to design social simulations that incorporate representations of those network aspects. We address this topic, by investigating the performance of a coordination game mechanism in representing the diffusion of behavior for distinct data sets and diverse behaviors in children and adolescent social networks. We introduce a set of quality measurements in order to assess the adequacy of our simulations and find evidence that a coordination game environment could underlie some of the diffusion processes, while other processes may not be modeled coherently as a coordination game.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1007/978-3-319-47253-9_15
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: Philippe De Wilde
Date Deposited: 28 Mar 2017 14:01 UTC
Last Modified: 29 May 2019 18:52 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/61066 (The current URI for this page, for reference purposes)
De Wilde, Philippe: https://orcid.org/0000-0002-4332-1715
  • Depositors only (login required):

Downloads

Downloads per month over past year