EconPapers    
Economics at your fingertips  
 

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

Franck Plouraboue, Alexandre Steyer and Jean-Benoit Zimmermann ()

Economics of Innovation and New Technology, 1998, vol. 6, issue 1, 73-90

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.

Keywords: diffusion; adoption; social influence; network externality; learning; criticality JEL Classification: A12; A14; DI1; D83; 033 (search for similar items in EconPapers)
Date: 1998
References: Add references at CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/10438599800000014 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Learning Induced Criticality in Consumers' Adoption Pattern: A Neural Network Approach (1996)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:ecinnt:v:6:y:1998:i:1:p:73-90

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GEIN20

Access Statistics for this article

Economics of Innovation and New Technology is currently edited by Professor Cristiano Antonelli

More articles in Economics of Innovation and New Technology from Taylor & Francis Journals
Series data maintained by Chris Longhurst ().

 
Page updated 2017-10-21
Handle: RePEc:taf:ecinnt:v:6:y:1998:i:1:p:73-90