Multi-parameter models of innovation diffusion on complex networks

McCullen, NJ, Rucklidge, AM, Bale, CSE, Foxon, TJ, Gale, WF · 2012 · White Rose Research Online (University of Leeds, The University of Sheffield, University of York)

Summary. This paper develops a mathematical model to understand how innovations spread through populations via peer influence. Using household energy efficiency adoption as a case study, the model represents people as network nodes whose decision to adopt depends on personal preference, neighbors' choices, and broader social trends. The researchers test the model on different network structures and provide analytical methods to predict adoption rates, showing how network topology affects innovation diffusion patterns.

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@article{nj-2012-multi-parameter-models-innovation-diffusion,
  title   = {Multi-parameter models of innovation diffusion on complex networks},
  author  = {McCullen, NJ and Rucklidge, AM and Bale, CSE and Foxon, TJ and Gale, WF},
  journal = {White Rose Research Online (University of Leeds, The University of Sheffield, University of York)},
  year    = {2012}
}

TY  - JOUR
TI  - Multi-parameter models of innovation diffusion on complex networks
AU  - McCullen, NJ
AU  - Rucklidge, AM
AU  - Bale, CSE
AU  - Foxon, TJ
AU  - Gale, WF
JO  - White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
PY  - 2012
ER  - 

Details

Countries

United Kingdom

Regions

Europe

Categories

energy, innovation-theory, innovation-networks, general-innovation

Added

2026-04-28