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How can innovation economics benefit from complex network analysis?

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Author Info
Brigitte GAY (LEREPS-GRES)

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Abstract

There is a deficit in economics of theories and empirical data on complex networks, though mathematicians, physicists, biologists, computer scientists, and sociologists are actively engaged in their study. This paper offers a focused review of prominent concepts in contemporary thinking in network research that may motivate further theoretical research and stimulate interest of economists. Possible avenues for modelling innovation, considered the driving force behind economic change, have been explored. A transition is needed from the analysis in economics of the transaction to the explicit examination of market structure and how it processes, or is processed by, innovation.

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File URL: http://cahiersdugres.u-bordeaux4.fr/2007/2007-12.pdf
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Publisher Info
Paper provided by Groupement de Recherches Economiques et Sociales in its series Cahiers du GRES with number 2007-12.

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Date of creation: 2007
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Handle: RePEc:grs:wpegrs:2007-12

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Web page: http://gres.u-bordeaux4.fr/
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Related research
Keywords: Network; statistics; economy; innovation; modelling;

Find related papers by JEL classification:
C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
O3 - Economic Development, Technological Change, and Growth - - Technological Change
D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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This page was last updated on 2009-11-27.


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