Bale, CSE, McCullen, NJ, Foxon, TJ et al. (2 more authors) (2014) Modeling diffusion of energy innovations on a heterogeneous social network and approaches to integration of real-world data. Complexity. ISSN 1076-2787
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014, owner. This is the accepted version of the following article:Bale, CSE, McCullen, NJ, Foxon, TJ, Rucklidge, AB and Gale, WF (2014) Modeling diffusion of energy innovations on a heterogeneous social network and approaches to integration of real-world data. Complexity. , which has been published in final form at: http://dx.doi.org/10.1002/cplx.21523. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Social networks; energy efficiency; diffusion of innovations; data driven modelling; dynamical simulation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) > Energy Research Institute (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Mar 2014 11:53 |
Last Modified: | 26 Apr 2019 10:19 |
Published Version: | http://dx.doi.org/10.1002/cplx.21523 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/cplx.21523 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:78184 |