Complexity 19 (2014) 83-94.
Modeling Diffusion of Energy Innovations on a
Heterogeneous Social Network and Approaches to
Integration of Real-World Data
Catherine S. E. Bale,
Nicholas J. McCullen,
Tim J. Foxon,
Alastair M. Rucklidge
William F. Gale
A model has been developed to simulate the diffusion of energy innovations on a heterogeneous social network.
Nodes on a network represent households, whose adoption of an energy innovation is based on a combination of
personal and social benefit; social benefit includes the positive influence from an individual's personal social
network and feedback from the wider population. This article describes the development of the model to incorporate
heterogeneous parameters and, thus, become more like a real social system. The sensitivity of the model is
investigated and it is shown that heterogeneity matters. This has important implications for the inclusion of real-world
data into this type of model.
preprint version of this paper (1.2MB)