Learing Induced Criticality In Consumers' Adoption Pattern: A Neural Network Approach
AbstractThe 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 InfoArticle provided by Taylor & Francis Journals in its journal Economics of Innovation and New Technology.
Volume (Year): 6 (1998)
Issue (Month): 1 ()
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Other versions of this item:
- Plouraboue, F. & Steyer, A. & Zimmermann, J.B., 1996. "Learning Induced Criticality in Consumers' Adoption Pattern: A Neural Network Approach," G.R.E.Q.A.M. 96a28, Universite Aix-Marseille III.
- A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
- A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
- D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
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