Modeling diffusion of energy innovations on a heterogeneous social network and approaches to integration of real‐world data | Zendy

Bale Catherine S. E. | Zendy; McCullen Nicholas J. | Zendy; Foxon Timothy J. | Zendy; Rucklidge Alastair M. | Zendy; Gale William F. | Zendy

Open Access

Modeling diffusion of energy innovations on a heterogeneous social network and approaches to integration of real‐world data

Author(s) -

Bale Catherine S. E.,

McCullen Nicholas J.,

Foxon Timothy J.,

Rucklidge Alastair M.,

Gale William F.

Publication year - 2014

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1002/cplx.21523

Subject(s) - social network (sociolinguistics) , computer science , diffusion , heterogeneous network , energy (signal processing) , population , data science , network model , data mining , sociology , world wide web , telecommunications , mathematics , physics , statistics , wireless network , wireless , demography , social media , thermodynamics

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. © 2014 Wiley Periodicals, Inc. Complexity 19: 83–94, 2014

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