Skip to main content

Modeling Contagion of Behavior in Friendship Networks as Coordination Games

Jordan, Tobias and De Wilde, Philippe and 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 . Springer, Cham, Switzerland, pp. 181-194. ISBN 978-3-319-47252-2. E-ISBN 978-3-319-47253-9. (doi:10.1007/978-3-319-47253-9_15) (KAR id:61066)

PDF Author's Accepted Manuscript
Language: English
Download (910kB) Preview
[thumbnail of jordan&d&b.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL


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: Book section
DOI/Identification number: 10.1007/978-3-319-47253-9_15
Uncontrolled keywords: social simulation; social networks; coordination games; threshold models; agent-based computational economics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Philippe De Wilde
Date Deposited: 28 Mar 2017 14:01 UTC
Last Modified: 24 Feb 2022 23:11 UTC
Resource URI: (The current URI for this page, for reference purposes)
De Wilde, Philippe:
  • Depositors only (login required):


Downloads per month over past year