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A Laboratory Experiment of Knowledge Diffusion Dynamics

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Author Info
Piergiuseppe Morone (University of Rome 'La Sapienza')
Richard Taylor (Centre for Policy Modelling, Manchester Metropolitan University Business School)

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Abstract

This paper aims to study, by means of a laboratory experiment and a simulation model, some of the mechanisms which dominate the phenomenon of knowledge diffusion in the process that is called ‘interactive learning’. We examine how knowledge spreads in different networks in which agents interact by word of mouth. We define a regular network, a randomly generated network and a small world network structured as graphs consisting of agents (vertices) and connections (edges), situated on a wrapped grid forming a lattice. The target of the paper is to identify the key factors which affect the speed and the distribution of knowledge diffusion. We will show how these factors can be classified as follow: (1) learning strategies adopted by heterogeneous agents; (2) network architecture within which the interaction takes place; (3) geographical distribution of agents and their relative initial levels of knowledge. We shall also attempt to single out the relative effect of each of the above factors.

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Paper provided by EconWPA in its series Experimental with number 0407004.

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Length: 20 pages
Date of creation: 20 Jul 2004
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Handle: RePEc:wpa:wuwpex:0407004

Note: Type of Document - pdf; pages: 20
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Web page: http://129.3.20.41

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Related research
Keywords: Knowledge; Network; Small world; Experiment; Simulation.;

Find related papers by JEL classification:
C9 - Mathematical and Quantitative Methods - - Design of Experiments

This paper has been announced in the following NEP Reports:

References listed on IDEAS
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  2. Ellison, Glenn & Fudenberg, Drew, 1993. "Rules of Thumb for Social Learning," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 612-43, August. [Downloadable!] (restricted)
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  3. Ellison, Glenn, 1993. "Learning, Local Interaction, and Coordination," Econometrica, Econometric Society, vol. 61(5), pages 1047-71, September. [Downloadable!] (restricted)
  4. Glaeser, Edward L & Sacerdote, Bruce & Scheinkman, Jose A, 1996. "Crime and Social Interactions," The Quarterly Journal of Economics, MIT Press, vol. 111(2), pages 507-48, May. [Downloadable!] (restricted)
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  5. Ellison, Glenn, 2000. "Basins of Attraction, Long-Run Stochastic Stability, and the Speed of Step-by-Step Evolution," Review of Economic Studies, Blackwell Publishing, vol. 67(1), pages 17-45, January.
  6. Silverberg, Gerald & Dosi, Giovanni & Orsenigo, Luigi, 1988. "Innovation, Diversity and Diffusion: A Self-organisation Model," Economic Journal, Royal Economic Society, vol. 98(393), pages 1032-54, December. [Downloadable!] (restricted)
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  9. Piergiuseppe Morone & Richard Taylor, 2004. "Small World Dynamics and The Process of Knowledge Diffusion: The Case of The Metropolitan Area of Greater Santiago De Chile," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7. [Downloadable!]
  10. George A. Akerlof, 1997. "Social Distance and Social Decisions," Econometrica, Econometric Society, vol. 65(5), pages 1005-1028, September.
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  12. Berninghaus, Siegfried K. & Schwalbe, Ulrich, 1996. "Evolution, interaction, and Nash equilibria," Journal of Economic Behavior & Organization, Elsevier, vol. 29(1), pages 57-85, January. [Downloadable!] (restricted)
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  15. repec:att:wimass:192007 is not listed on IDEAS
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  17. Cowan,Robin & Jonard,Nicolas, 1999. "Network Structure and the Diffusion of Knowledge," Research Memoranda 026, Maastricht : MERIT, Maastricht Economic Research Institute on Innovation and Technology. [Downloadable!]
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