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Knowledge diffusion dynamics and network properties of face-to-face interactions

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  • Piergiuseppe Morone

    ()

  • Richard Taylor

    ()

Abstract

This paper aims to understand 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 a network in which agents interact by word of mouth. The social network is structured as a network graph consisting of agents (vertices) and connections (edges) and is situated on a wrapped cellular automata grid forming a torus. The target of this simulation is to test whether knowledge diffuses in a homogeneous way or whether it follows some biased path towards convergence or divergence. Copyright Springer-Verlag Berlin/Heidelberg 2004

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File URL: http://hdl.handle.net/10.1007/s00191-004-0211-2
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Bibliographic Info

Article provided by Springer in its journal Journal of Evolutionary Economics.

Volume (Year): 14 (2004)
Issue (Month): 3 (07)
Pages: 327-351

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Handle: RePEc:spr:joevec:v:14:y:2004:i:3:p:327-351

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Web page: http://link.springer.de/link/service/journals/00191/index.htm

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Related research

Keywords: Diffusion; Inequality; Knowledge; Network; Small world;

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Cited by:
  1. Valentyn Panchenko & Sergiy Gerasymchuk & Oleg V. Pavlov, 2007. "Asset price dynamics with small world interactions under hetereogeneous beliefs," Working Papers 149, Department of Applied Mathematics, Università Ca' Foscari Venezia.
  2. Lorenzo Cassi & Lorenzo Zirulia, 2012. "Friends and Rivals: Modelling the Social Relations of Inventors," Working Paper Series 39_12, The Rimini Centre for Economic Analysis.
  3. Lorenzo Cassi & Lorenzo Zirulia, 2005. "The Opportunity Cost of Social Relations: on the Effectiveness of Small Worlds," KITeS Working Papers 175, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Sep 2005.
  4. Panchenko, Valentyn & Gerasymchuk, Sergiy & Pavlov, Oleg V., 2013. "Asset price dynamics with heterogeneous beliefs and local network interactions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2623-2642.
  5. Widad Guechtouli, 2014. "Agent-based modeling of knowledge transfer within social networks," Working Papers 2014-148, Department of Research, Ipag Business School.
  6. Valentyn Panchenko & Sergiy Gerasymchuk & Oleg V. Pavlov, 2013. "Asset Price Dynamics with Heterogeneous Beliefs and Local Network Interactions," Discussion Papers 2013-18, School of Economics, The University of New South Wales.
  7. Uwe Cantner & Holger Graf, 2004. "The Network of Innovators in Jena: An Application of Social Network Analysis," Jenaer Schriften zur Wirtschaftswissenschaft 04/2004, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
  8. Uwe Cantner & Maximilian Goethner & Andreas Meder, 2007. "Prior knowledge and entrepreneurial innovative success," Jena Economic Research Papers 2007-052, Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics.
  9. Gerasymchuk, S. & Pavlov, O.V., 2010. "Asset Price Dynamics with Local Interactions under Heterogeneous Beliefs," CeNDEF Working Papers 10-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  10. Andrea Schiffauerova & Catherine Beaudry, 2009. "Canadian nanotechnology innovation networks: intra-cluster, inter-cluster and foreign collaboration," Journal of Innovation Economics, De Boeck Université, vol. 0(2), pages 119-146.
  11. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.

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