Computational Model Library

Nudging agents in social networks for collective action (1.0.0)

To increase the level of collective action to solve problems related to sustainability and public health behavioral scientists have shown that the use of social influence and peer pressure can be effective. How to nudge a small set of individuals to generate cascades of cooperation? Using a stylized agent-based model we explore how different assumptions on network structure and attributes of agents, as well as forms of feedback will influence the level of adaptation. Our analysis shows that targeting those who are most socially influenceable is more effective than those who are most or best connected in social networks.

Release Notes

Associated Publications

This release is out-of-date. The latest version is 1.1.0

Nudging agents in social networks for collective action 1.0.0

To increase the level of collective action to solve problems related to sustainability and public health behavioral scientists have shown that the use of social influence and peer pressure can be effective. How to nudge a small set of individuals to generate cascades of cooperation? Using a stylized agent-based model we explore how different assumptions on network structure and attributes of agents, as well as forms of feedback will influence the level of adaptation. Our analysis shows that targeting those who are most socially influenceable is more effective than those who are most or best connected in social networks.

Version Submitter First published Last modified Status
1.1.0 Marco Janssen Sun Mar 17 01:53:00 2019 Sun Mar 17 01:53:00 2019 Published
1.0.0 Marco Janssen Sun Aug 14 15:38:44 2011 Tue Feb 20 08:45:07 2018 Published

Discussion

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept