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Learing Induced Criticality In Consumers' Adoption Pattern: A Neural Network Approach

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Author Info

  • Franck Plouraboue
  • Alexandre Steyer
  • Jean-Benoit Zimmermann

Abstract

The aim of this paper is to lay the foundations of 3 social influence based approach for the diffusion of an innovation or a technological standard. A model built on the principles of a neural network is proposed and a learning procedure is set up, making the network formation endogenous, the strength of connections among agents being determined by their shared histories, Referring to the concept of criticality developed by physicists, it shall be shown that learning, in a social structure, can lead the network to a critical state, called 'learning induced criticality, where some agents are able to exert a macroscopic influence over the network. The distribution of influence spheres' size follows a Pareto law. This approach shows an interesting similatry with that of the social coherence in sociology, whereby individuals within a social structure are led to share a close assessment of a given innovation.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Economics of Innovation and New Technology.

Volume (Year): 6 (1998)
Issue (Month): 1 ()
Pages: 73-90

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Handle: RePEc:taf:ecinnt:v:6:y:1998:i:1:p:73-90

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Related research

Keywords: diffusion; adoption; social influence; network externality; learning; criticality JEL Classification: A12; A14; DI1; D83; 033;

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Cited by:
  1. Schade, Sven & Buxmann, Peter, 2005. "A Prototype to Analyse and Support Standardization Decisions," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 35795, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  2. Carayol, Nicolas & Dalle, Jean-Michel, 2007. "Sequential problem choice and the reward system in Open Science," Structural Change and Economic Dynamics, Elsevier, vol. 18(2), pages 167-191, June.
  3. Deroian, Frederic, 2002. "Formation of social networks and diffusion of innovations," Research Policy, Elsevier, vol. 31(5), pages 835-846, July.
  4. Cowan,Robin & Jonard,Nicolas & Zimmermann,J-B, 2004. "Evolving Networks of Inventors," Research Memorandum 018, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
  5. R. Cowan & N. Jonard & J.-B. Zimmermann, 2006. "Evolving networks of inventors," Journal of Evolutionary Economics, Springer, vol. 16(1), pages 155-174, April.
  6. Rossi, Federica, 2002. "An introductory overview of innovation studies," MPRA Paper 9106, University Library of Munich, Germany, revised Jun 2008.
  7. Nicolas Carayol & Jean-Michel Dalle, 2003. "The ‘problem of problem choice’: A model of sequential knowledge production within scientific communities cientific communities," Working Papers of BETA 2003-12, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  8. Cowan,Robin, 2004. "Network models of innovation and knowledge diffusion," Research Memorandum 016, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).

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