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

Author

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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

Suggested Citation

  • Piergiuseppe Morone & Richard Taylor, 2004. "Knowledge diffusion dynamics and network properties of face-to-face interactions," Journal of Evolutionary Economics, Springer, vol. 14(3), pages 327-351, July.
  • Handle: RePEc:spr:joevec:v:14:y:2004:i:3:p:327-351
    DOI: 10.1007/s00191-004-0211-2
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    Citations

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    Cited by:

    1. Johannes Van Der Pol, 2015. "Structural dynamics of the French aerospace sector: A network analysis," Working Papers hal-01284993, HAL.
    2. Torben Klarl, 2014. "Knowledge diffusion and knowledge transfer revisited: two sides of the medal," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 737-760, September.
    3. 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.
    4. Cao, Bin & Han, Shui-hua & Jin, Zhen, 2016. "Modeling of knowledge transmission by considering the level of forgetfulness in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 277-287.
    5. Li, Jingjing & Zhang, Yumei & Man, Jiayu & Zhou, Yun & Wu, Xiaojun, 2017. "SISL and SIRL: Two knowledge dissemination models with leader nodes on cooperative learning networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 740-749.
    6. Cantner, Uwe & Graf, Holger, 2006. "The network of innovators in Jena: An application of social network analysis," Research Policy, Elsevier, vol. 35(4), pages 463-480, May.
    7. G. Blind & A. Pyka, 2014. "The rule approach in evolutionary economics: A methodological template for empirical research," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 1085-1105, November.
    8. Yang, Guang-Yong & Hu, Zhao-Long & Liu, Jian-Guo, 2015. "Knowledge diffusion in the collaboration hypernetwork," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 429-436.
    9. Widad Guechtouli, 2014. "Agent-based modeling of knowledge transfer within social networks," Working Papers 2014-148, Department of Research, Ipag Business School.
    10. Uwe Cantner & Maximilian Goethner & Andreas Meder, 2007. "Prior knowledge and entrepreneurial innovative success," Jena Economic Research Papers 2007-052, Friedrich-Schiller-University Jena.
    11. repec:eee:apmaco:v:304:y:2017:i:c:p:83-92 is not listed on IDEAS
    12. 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.
    13. 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.
    14. 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.
    15. Lorenzo Cassi & Lorenzo Zirulia, 2008. "The opportunity cost of social relations: On the effectiveness of small worlds," Journal of Evolutionary Economics, Springer, vol. 18(1), pages 77-101, February.
    16. Lorenzo Cassi & Lorenzo Zirulia, 2012. "Friends and Rivals: Modelling the Social Relations of Inventors," Working Paper series 39_12, Rimini Centre for Economic Analysis.
    17. Mueller, Matthias & Bogner, Kristina & Buchmann, Tobias & Kudic, Muhamed, 2015. "Simulating knowledge diffusion in four structurally distinct networks: An agent-based simulation model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 05-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    18. Mario Maggioni & Teodora Uberti & Mario Nosvelli, 2014. "Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 453-485, September.
    19. repec:spr:jeicoo:v:12:y:2017:i:3:d:10.1007_s11403-016-0178-8 is not listed on IDEAS
    20. 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.
    21. Jinwen Qiu & Wenjian Liu & Ning Ning, 2018. "Evolution of Regional Innovation with Spatial Knowledge Spillovers: Convergence or Divergence?," Papers 1801.06936, arXiv.org, revised Mar 2018.
    22. Johannes VAN DER POL, 2016. "The French Aerospace Sector Collaboration Network : Structural Dynamics And Firm Performance," Cahiers du GREThA 2016-24, Groupe de Recherche en Economie Théorique et Appliquée.

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    Keywords

    Diffusion; Inequality; Knowledge; Network; Small world;

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