Journal of Northeastern University Natural Science ›› 2015, Vol. 36 ›› Issue (8): 1212-1216.DOI: 10.12068/j.issn.1005-3026.2015.08.032

• Management Science • Previous Articles    

Innovation Diffusion Modeling Based on Scale-Free Networks

HUANG Wei-qiang1, YAO Shuang2, ZHUANG Xin-tian1, XIN Wei3   

  1. 1. School of Business Administration, Northeastern University, Shenyang 110819, China; 2. School of Economics and Management, Shenyang University of Chemical Technology, Shenyang 110142, China; 3. College of Business and Economics, Australian National University, Canberra 2913, Australia.
  • Received:2014-07-02 Revised:2014-07-02 Online:2015-08-15 Published:2015-08-28
  • Contact: HUANG Wei-qiang
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Abstract: Considering the influence of local area networks on innovation adoption decision-making of consumers, an innovation diffusion model from the micro to the macro was constructed based on the scale-free potential adopter networks. On one hand, the constructed model relaxed Bass model’s unrealistic assumptions of the consumer networks; on the other hand, the model introduced an important parameter of the scale-free networks (degree distribution exponential) , which helped to integrate the micro-adoption mechanisms and macro-diffusion data. With an advantage of differential equation modeling, the model’s application value was improved. A further simulation analysis of the model demonstrated that the more heterogeneous consumer networks’ node degrees and the less network average degrees are, the deeper and the faster innovation diffusion will be.

Key words: innovation diffusion, potential adopter, relationship network, scale-free network, Bass model

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