This chapter demonstrates an approach to the agent-based modelling of norms transmission using decision trees learned from questionnaire data. We explore the impications of adding norm dynamics implied in static questionnaire data and the influence of social network topology has on the outcome. We fnid that parameters determining network topology influence the outcome in both hierarchical and co-worker 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 / Polhill, J. G.; Craig, T.; Alonso-Betanzos, A.; Sánchez-Maroño, N.; Fontenla-Romero, O.; Dumitru, A.; García-Mira, R.; Bonnes, M.; Bonaiuto, M.; Carrus, G.; Maricchiolo, F.; Fornara, F.; Ilin, C.; Steg, L.; Ruepert, A.; Keizer, K.. - (2017), pp. 27-52. [10.1007/978-3-319-46331-5_2].
Interactions matter: modelling everyday pro-environmental norm transmission and diffusion in workplace networks
Bonnes M.;Bonaiuto M.;
2017
Abstract
This chapter demonstrates an approach to the agent-based modelling of norms transmission using decision trees learned from questionnaire data. We explore the impications of adding norm dynamics implied in static questionnaire data and the influence of social network topology has on the outcome. We fnid that parameters determining network topology influence the outcome in both hierarchical and co-worker 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.File | Dimensione | Formato | |
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