This chapter demonstrates an approach to the agent-based modelling of norm transmission using decision trees learned from questionnaire data. We explore the implications of adding norm dynamics implied in static questionnaire data and the influence social network topology has on the outcome. We find that parameters determining network topology influence the outcome in both hierarchical and coworker networks in a simulated workplace. As an exercise in empirical agent-based modelling, this work highlights the importance of gathering data on interactions in field studies.

Interactions matter: modelling everyday pro-environmental norm transmission and diffusion in workplace networks

FORNARA, FERDINANDO;
2017-01-01

Abstract

This chapter demonstrates an approach to the agent-based modelling of norm transmission using decision trees learned from questionnaire data. We explore the implications of adding norm dynamics implied in static questionnaire data and the influence social network topology has on the outcome. We find that parameters determining network topology influence the outcome in both hierarchical and coworker networks in a simulated workplace. As an exercise in empirical agent-based modelling, this work highlights the importance of gathering data on interactions in field studies.
2017
978-3-319-46330-8
978-3-319-46331-5
File in questo prodotto:
File Dimensione Formato  
Polhill et al 2017.pdf

Solo gestori archivio

Tipologia: versione post-print
Dimensione 2.49 MB
Formato Adobe PDF
2.49 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/210403
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact